Overview

Dataset statistics

Number of variables345
Number of observations152
Missing cells13110
Missing cells (%)25.0%
Total size in memory410.9 KiB
Average record size in memory2.7 KiB

Variable types

TimeSeries8
Text2
Numeric334
Unsupported1

Timeseries statistics

Number of series8
Time series length152
Starting point2010
Ending point2017
Period0.04635761589
2024-03-27T11:52:56.915401image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
2024-03-27T11:52:57.282789image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Alerts

hou_pol_hlessconduct_food has constant value ""Constant
state_abr has constant value ""Constant
pit_hless_balance has constant value ""Constant
pit_shelt_balance has constant value ""Constant
pit_unshelt_balance has constant value ""Constant
unbalance_flag has constant value ""Constant
missing has constant value ""Constant
state has constant value ""Constant
fedfundcoc_flag has constant value ""Constant
flag_d_hless has constant value ""Constant
flag_xt_hless has constant value ""Constant
flag_d_shelt has constant value ""Constant
flag_xt_shelt has constant value ""Constant
flag_d_unshelt has constant value ""Constant
flag_xt_unshelt has constant value ""Constant
census_region has constant value ""Constant
census_division has constant value ""Constant
sub_west_coast has constant value ""Constant
sub_west_coast_all_urb has constant value ""Constant
sub_west_census has constant value ""Constant
pit_perfam_chronic_hless_pit_hud has 57 (37.5%) missing valuesMissing
pit_vet_hless_pit_hud has 19 (12.5%) missing valuesMissing
hou_pol_totalind_hud has 114 (75.0%) missing valuesMissing
hou_pol_totalday_hud has 114 (75.0%) missing valuesMissing
hou_pol_totalexit_hud has 114 (75.0%) missing valuesMissing
hou_pol_numret6mos_hud has 114 (75.0%) missing valuesMissing
hou_pol_numret12mos_hud has 114 (75.0%) missing valuesMissing
dem_age_boom_census has 133 (87.5%) missing valuesMissing
total_rent_inventory_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_ed_bach_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_ed_hsgrad_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_ed_lesshs_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_ed_somecoll_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_vet_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_singparent_acs5yr has 114 (75.0%) missing valuesMissing
dem_health_ins_acs5yr has 133 (87.5%) missing valuesMissing
econ_labor_topskilled_acs5yr has 114 (75.0%) missing valuesMissing
econ_labor_midskilled_acs5yr has 114 (75.0%) missing valuesMissing
econ_labor_unskilled_acs5yr has 114 (75.0%) missing valuesMissing
econ_labor_incineq_acs5yr has 114 (75.0%) missing valuesMissing
econ_labor_medinc_acs5yr has 114 (75.0%) missing valuesMissing
econ_labor_pov_acs5yr has 114 (75.0%) missing valuesMissing
dem_soc_singadult_acs5yr has 114 (75.0%) missing valuesMissing
econ_sn_cashasst_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_homeval_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_homeage_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_homeage1940_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_medrent_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_medrentgross_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_ovrcrowd_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_rentshare_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_rentvacancy_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_utility_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_burden_own_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_burden_sev_own_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_burden_rent_acs5yr has 114 (75.0%) missing valuesMissing
hou_mkt_burden_sev_rent_acs5yr has 114 (75.0%) missing valuesMissing
dem_health_alcoholdeath_IMHE has 133 (87.5%) missing valuesMissing
dem_mort_lifeexp_IMHE has 133 (87.5%) missing valuesMissing
econ_sn_eitc_irs has 19 (12.5%) missing valuesMissing
econ_sn_returns_irs has 19 (12.5%) missing valuesMissing
econ_sn_eitc_irs_share has 19 (12.5%) missing valuesMissing
dem_health_mentalhlth_chr has 133 (87.5%) missing valuesMissing
dem_health_excesdrink_chr has 133 (87.5%) missing valuesMissing
dem_health_mentalhlth_chr_share has 133 (87.5%) missing valuesMissing
dem_health_ins_acs5yr_2012 has 152 (100.0%) missing valuesMissing
hou_mkt_homeval_xt has 76 (50.0%) missing valuesMissing
hou_mkt_burden_own_xt has 76 (50.0%) missing valuesMissing
hou_mkt_burden_sev_own_xt has 76 (50.0%) missing valuesMissing
hou_mkt_burden_rent_xt has 76 (50.0%) missing valuesMissing
hou_mkt_burden_sev_rent_xt has 76 (50.0%) missing valuesMissing
hou_mkt_homeage_xt has 76 (50.0%) missing valuesMissing
hou_mkt_homeage1940_xt has 76 (50.0%) missing valuesMissing
hou_mkt_medrent_xt has 76 (50.0%) missing valuesMissing
hou_mkt_utility_xt has 76 (50.0%) missing valuesMissing
hou_mkt_rentshare_xt has 76 (50.0%) missing valuesMissing
hou_mkt_rentvacancy_xt has 76 (50.0%) missing valuesMissing
hou_mkt_ovrcrowd_xt has 76 (50.0%) missing valuesMissing
econ_labor_midskill_xt has 76 (50.0%) missing valuesMissing
econ_labor_incineq_xt has 76 (50.0%) missing valuesMissing
econ_sn_cashasst_xt has 76 (50.0%) missing valuesMissing
dem_soc_ed_bach_xt has 76 (50.0%) missing valuesMissing
dem_soc_ed_somecoll_xt has 76 (50.0%) missing valuesMissing
dem_soc_ed_hsgrad_xt has 76 (50.0%) missing valuesMissing
dem_soc_ed_lesshs_xt has 76 (50.0%) missing valuesMissing
dem_health_ins_xt has 114 (75.0%) missing valuesMissing
dem_soc_singadult_xt has 76 (50.0%) missing valuesMissing
dem_soc_singparent_xt has 76 (50.0%) missing valuesMissing
dem_soc_vet_xt has 76 (50.0%) missing valuesMissing
ln_hou_mkt_homeval_xt has 76 (50.0%) missing valuesMissing
ln_hou_mkt_medrent_xt has 76 (50.0%) missing valuesMissing
d_pit_hless_pit_hud_share has 133 (87.5%) missing valuesMissing
d_pit_shelt_pit_hud_share has 133 (87.5%) missing valuesMissing
d_pit_unshelt_pit_hud_share has 133 (87.5%) missing valuesMissing
d_hou_mkt_homeval_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_burden_sev_rent_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_burden_own_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_burden_sev_own_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_burden_rent_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_medrent_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_utility_xt has 133 (87.5%) missing valuesMissing
d_fhfa_hpi_2009 has 133 (87.5%) missing valuesMissing
d_hou_mkt_homeage1940_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_rentshare_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_rentvacancy_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_ovrcrowd_xt has 133 (87.5%) missing valuesMissing
d_hou_mkt_pctoverhouse_psh_hud has 133 (87.5%) missing valuesMissing
d_hou_mkt_evict_rate has 133 (87.5%) missing valuesMissing
d_hou_pol_eli_psh_hud has 133 (87.5%) missing valuesMissing
d_hou_pol_hudunit_psh_hud_share has 133 (87.5%) missing valuesMissing
d_hou_pol_occhudunit_psh_hud has 133 (87.5%) missing valuesMissing
d_hou_pol_fedfundcoc has 133 (87.5%) missing valuesMissing
d_econ_labor_medinc_census has 133 (87.5%) missing valuesMissing
d_econ_labor_unemp_rate_BLS has 133 (87.5%) missing valuesMissing
d_econ_labor_incineq_xt has 133 (87.5%) missing valuesMissing
d_econ_sn_cashasst_xt has 133 (87.5%) missing valuesMissing
d_econ_sn_eitc_irs_share has 133 (87.5%) missing valuesMissing
d_econ_sn_ssdi_part_rate_SSA has 133 (87.5%) missing valuesMissing
d_econ_sn_ssi_part_rate_SSA has 133 (87.5%) missing valuesMissing
d_dem_soc_white_census_share has 133 (87.5%) missing valuesMissing
d_dem_soc_black_census_share has 133 (87.5%) missing valuesMissing
d_dem_soc_hispanic_census_share has 133 (87.5%) missing valuesMissing
d_dem_soc_asian_census_share has 133 (87.5%) missing valuesMissing
d_dem_pop_child_census_share has 133 (87.5%) missing valuesMissing
d_dem_pop_adult_census_share has 133 (87.5%) missing valuesMissing
d_dem_pop_senior_census_share has 133 (87.5%) missing valuesMissing
d_dem_pop_female_census_share has 133 (87.5%) missing valuesMissing
d_dem_pop_mig_census_share has 133 (87.5%) missing valuesMissing
d_dem_soc_ed_bach_xt has 133 (87.5%) missing valuesMissing
d_dem_health_cost_dart has 133 (87.5%) missing valuesMissing
d_dem_soc_singadult_xt has 133 (87.5%) missing valuesMissing
d_dem_soc_singparent_xt has 133 (87.5%) missing valuesMissing
d_dem_soc_vet_xt has 133 (87.5%) missing valuesMissing
d_env_wea_avgtemp_noaa has 133 (87.5%) missing valuesMissing
d_env_wea_avgtemp_summer_noaa has 133 (87.5%) missing valuesMissing
d_env_wea_precip_noaa has 133 (87.5%) missing valuesMissing
d_env_wea_precip_annual_noaa has 133 (87.5%) missing valuesMissing
dem_soc_ed_lessbach_xt has 76 (50.0%) missing valuesMissing
year is non stationaryNon stationary
coctag is non stationaryNon stationary
cpi_2017 is non stationaryNon stationary
odd_flag is non stationaryNon stationary
sub_high_cost_homeval75 is non stationaryNon stationary
sub_high_cost_homeval75 is seasonalSeasonal
dem_pop_pop_census has unique valuesUnique
dem_pop_male_census has unique valuesUnique
dem_pop_female_census has unique valuesUnique
dem_pop_child_census has unique valuesUnique
dem_pop_adult_census has unique valuesUnique
dem_pop_senior_census has unique valuesUnique
dem_soc_white_census has unique valuesUnique
dem_soc_black_census has unique valuesUnique
dem_soc_asian_census has unique valuesUnique
dem_soc_hispanic_census has unique valuesUnique
econ_labor_force_pop_BLS has unique valuesUnique
econ_labor_emp_pop_BLS has unique valuesUnique
econ_labor_unemp_pop_BLS has unique valuesUnique
econ_labor_unemp_rate_BLS has unique valuesUnique
dem_pop_density_census has unique valuesUnique
hou_mkt_pmt_totvalue_census has unique valuesUnique
econ_labor_pov_pop_census has unique valuesUnique
econ_labor_medinc_census has unique valuesUnique
econ_sn_ssdi_part_rate_SSA has unique valuesUnique
econ_sn_ssi_part_rate_SSA has unique valuesUnique
hou_mkt_renter_count_evlab has unique valuesUnique
dem_health_cost_dart has unique valuesUnique
env_wea_avgtemp_summer_noaa has unique valuesUnique
env_wea_precip_annual_noaa has unique valuesUnique
pit_shelt_pit_hud_share has unique valuesUnique
pit_hless_pit_hud_share has unique valuesUnique
dem_pop_adult_census_share has unique valuesUnique
dem_pop_child_census_share has unique valuesUnique
dem_pop_female_census_share has unique valuesUnique
dem_pop_male_census_share has unique valuesUnique
dem_pop_mig_census_share has unique valuesUnique
dem_pop_senior_census_share has unique valuesUnique
dem_soc_asian_census_share has unique valuesUnique
dem_soc_black_census_share has unique valuesUnique
dem_soc_hispanic_census_share has unique valuesUnique
dem_soc_native_census_share has unique valuesUnique
dem_soc_pacific_census_share has unique valuesUnique
dem_soc_racetwo_census_share has unique valuesUnique
dem_soc_white_census_share has unique valuesUnique
dem_soc_other_census_share has unique valuesUnique
econ_labor_pov_pop_census_share has unique valuesUnique
hou_pol_hudunit_psh_hud_share has unique valuesUnique
ln_econ_labor_medinc_census has unique valuesUnique
dem_health_ins_acs5yr_2012 is an unsupported type, check if it needs cleaning or further analysisUnsupported
pit_tot_unshelt_pit_hud has 6 (3.9%) zerosZeros
pit_ind_unshelt_pit_hud has 6 (3.9%) zerosZeros
pit_perfam_unshelt_pit_hud has 70 (46.1%) zerosZeros
pit_ind_chronic_hless_pit_hud has 7 (4.6%) zerosZeros
pit_perfam_chronic_hless_pit_hud has 46 (30.3%) zerosZeros
pit_vet_hless_pit_hud has 4 (2.6%) zerosZeros
coctag has 133 (87.5%) zerosZeros
hou_pol_numret6mos_hud has 2 (1.3%) zerosZeros
hou_pol_bed_oph_hic_hud has 129 (84.9%) zerosZeros
hou_pol_bed_rrh_hic_hud has 132 (86.8%) zerosZeros
hou_pol_bed_sh_hic_hud has 125 (82.2%) zerosZeros
fhfa_hpi_flag has 149 (98.0%) zerosZeros
fhfa_hpi_2009 has 19 (12.5%) zerosZeros
hou_mkt_evict_count has 3 (2.0%) zerosZeros
hou_mkt_evict_file_count has 3 (2.0%) zerosZeros
hou_mkt_evict_flag has 82 (53.9%) zerosZeros
hou_mkt_evict_file_rate has 3 (2.0%) zerosZeros
hou_mkt_evict_rate has 3 (2.0%) zerosZeros
hou_pol_hlessconduct_food has 152 (100.0%) zerosZeros
hou_pol_hlessconduct_total has 136 (89.5%) zerosZeros
hou_pol_hlessconduct_sleep has 144 (94.7%) zerosZeros
hou_pol_hlessconduct_loiter has 144 (94.7%) zerosZeros
hou_pol_hlessconduct_beg has 136 (89.5%) zerosZeros
odd_flag has 76 (50.0%) zerosZeros
unbalance_flag has 152 (100.0%) zerosZeros
pit_unshelt_pit_hud_share has 6 (3.9%) zerosZeros
missing has 152 (100.0%) zerosZeros
hou_mkt_homeage_acs5yr_diff has 8 (5.3%) zerosZeros
evict_file_flag has 149 (98.0%) zerosZeros
evict_flag has 149 (98.0%) zerosZeros
fedfundcoc_flag has 152 (100.0%) zerosZeros
hou_mkt_density_dummy has 128 (84.2%) zerosZeros
flag_d_hless has 152 (100.0%) zerosZeros
flag_xt_hless has 152 (100.0%) zerosZeros
flag_d_shelt has 152 (100.0%) zerosZeros
flag_xt_shelt has 152 (100.0%) zerosZeros
flag_d_unshelt has 152 (100.0%) zerosZeros
flag_xt_unshelt has 152 (100.0%) zerosZeros
d_hou_pol_occhudunit_psh_hud has 3 (2.0%) zerosZeros
sub_west_coast has 152 (100.0%) zerosZeros
sub_low_rent_vacancy has 132 (86.8%) zerosZeros
sub_high_cost_rent75 has 66 (43.4%) zerosZeros
sub_high_cost_homeval75 has 68 (44.7%) zerosZeros
sub_high_rent_share75 has 66 (43.4%) zerosZeros
tight_high_cost_rental_mkt has 42 (27.6%) zerosZeros
sub_tight_high_cost_rent has 74 (48.7%) zerosZeros
sub_west_coast_all_urb has 152 (100.0%) zerosZeros
sub_west_census has 152 (100.0%) zerosZeros
major_city has 120 (78.9%) zerosZeros
suburban has 72 (47.4%) zerosZeros
rural has 112 (73.7%) zerosZeros

Reproduction

Analysis started2024-03-27 16:52:53.419421
Analysis finished2024-03-27 16:52:56.823098
Duration3.4 seconds
Software versionydata-profiling vv4.7.0
Download configurationconfig.json

Variables

year
Numeric time series

NON STATIONARY 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.5
Minimum2010
Maximum2017
Zeros0
Zeros (%)0.0%
Memory size2.4 KiB
2024-03-27T11:52:57.531808image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2010
5-th percentile2010
Q12011.75
median2013.5
Q32015.25
95-th percentile2017
Maximum2017
Range7
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation2.298862373
Coefficient of variation (CV)0.001141724546
Kurtosis-1.239271333
Mean2013.5
Median Absolute Deviation (MAD)2
Skewness0
Sum306052
Variance5.284768212
MonotonicityIncreasing
Augmented Dickey-Fuller test p-value0.8790867941
2024-03-27T11:52:57.708672image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2024-03-27T11:52:58.398318image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:52:58.522184image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
2010 19
12.5%
2011 19
12.5%
2012 19
12.5%
2013 19
12.5%
2014 19
12.5%
2015 19
12.5%
2016 19
12.5%
2017 19
12.5%
ValueCountFrequency (%)
2010 19
12.5%
2011 19
12.5%
2012 19
12.5%
2013 19
12.5%
2014 19
12.5%
ValueCountFrequency (%)
2017 19
12.5%
2016 19
12.5%
2015 19
12.5%
2014 19
12.5%
2013 19
12.5%
2024-03-27T11:52:58.008257image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-27T11:52:58.803369image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length6
Median length6
Mean length6
Min length6

Characters and Unicode

Total characters912
Distinct characters13
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIL-501
2nd rowIL-518
3rd rowIL-512
4th rowIL-503
5th rowIL-504
ValueCountFrequency (%)
il-501 8
 
5.3%
il-518 8
 
5.3%
il-512 8
 
5.3%
il-503 8
 
5.3%
il-504 8
 
5.3%
il-513 8
 
5.3%
il-517 8
 
5.3%
il-511 8
 
5.3%
il-508 8
 
5.3%
il-515 8
 
5.3%
Other values (9) 72
47.4%
2024-03-27T11:52:59.245265image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 160
17.5%
I 152
16.7%
L 152
16.7%
- 152
16.7%
0 88
9.6%
1 88
9.6%
2 24
 
2.6%
8 16
 
1.8%
3 16
 
1.8%
4 16
 
1.8%
Other values (3) 48
 
5.3%

Most occurring categories

ValueCountFrequency (%)
(unknown) 912
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
5 160
17.5%
I 152
16.7%
L 152
16.7%
- 152
16.7%
0 88
9.6%
1 88
9.6%
2 24
 
2.6%
8 16
 
1.8%
3 16
 
1.8%
4 16
 
1.8%
Other values (3) 48
 
5.3%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 912
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
5 160
17.5%
I 152
16.7%
L 152
16.7%
- 152
16.7%
0 88
9.6%
1 88
9.6%
2 24
 
2.6%
8 16
 
1.8%
3 16
 
1.8%
4 16
 
1.8%
Other values (3) 48
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 912
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
5 160
17.5%
I 152
16.7%
L 152
16.7%
- 152
16.7%
0 88
9.6%
1 88
9.6%
2 24
 
2.6%
8 16
 
1.8%
3 16
 
1.8%
4 16
 
1.8%
Other values (3) 48
 
5.3%

pit_tot_shelt_pit_hud
Real number (ℝ)

Distinct132
Distinct (%)86.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean564.6315789
Minimum76
Maximum6495
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:52:59.465721image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum76
5-th percentile98.55
Q1165.75
median248
Q3381.5
95-th percentile2506.45
Maximum6495
Range6419
Interquartile range (IQR)215.75

Descriptive statistics

Standard deviation1260.844202
Coefficient of variation (CV)2.233038762
Kurtosis14.79865799
Mean564.6315789
Median Absolute Deviation (MAD)98
Skewness4.027391463
Sum85824
Variance1589728.102
MonotonicityNot monotonic
2024-03-27T11:52:59.800574image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150 3
 
2.0%
172 2
 
1.3%
392 2
 
1.3%
419 2
 
1.3%
161 2
 
1.3%
298 2
 
1.3%
316 2
 
1.3%
98 2
 
1.3%
379 2
 
1.3%
114 2
 
1.3%
Other values (122) 131
86.2%
ValueCountFrequency (%)
76 1
0.7%
77 1
0.7%
80 1
0.7%
86 1
0.7%
87 1
0.7%
ValueCountFrequency (%)
6495 1
0.7%
6359 1
0.7%
6151 1
0.7%
5997 1
0.7%
5937 1
0.7%

pit_tot_unshelt_pit_hud
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)47.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.8223684
Minimum0
Maximum2165
Zeros6
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:00.048889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median26.5
Q349.75
95-th percentile661.2
Maximum2165
Range2165
Interquartile range (IQR)40.75

Descriptive statistics

Standard deviation361.1357563
Coefficient of variation (CV)2.916563145
Kurtosis18.00454209
Mean123.8223684
Median Absolute Deviation (MAD)19.5
Skewness4.275819447
Sum18821
Variance130419.0345
MonotonicityNot monotonic
2024-03-27T11:53:00.300709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 9
 
5.9%
9 6
 
3.9%
3 6
 
3.9%
0 6
 
3.9%
26 5
 
3.3%
43 5
 
3.3%
30 4
 
2.6%
4 4
 
2.6%
15 4
 
2.6%
41 3
 
2.0%
Other values (62) 100
65.8%
ValueCountFrequency (%)
0 6
3.9%
1 3
2.0%
2 2
 
1.3%
3 6
3.9%
4 4
2.6%
ValueCountFrequency (%)
2165 1
0.7%
1955 2
1.3%
1653 1
0.7%
1367 1
0.7%
1353 1
0.7%

pit_tot_hless_pit_hud
Real number (ℝ)

Distinct134
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean688.4539474
Minimum80
Maximum7952
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:00.536332image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile107.55
Q1196
median291
Q3431.5
95-th percentile3330.05
Maximum7952
Range7872
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation1605.583135
Coefficient of variation (CV)2.332157643
Kurtosis14.5762018
Mean688.4539474
Median Absolute Deviation (MAD)114
Skewness4.013212816
Sum104645
Variance2577897.203
MonotonicityNot monotonic
2024-03-27T11:53:00.781258image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
160 4
 
2.6%
451 3
 
2.0%
291 3
 
2.0%
376 2
 
1.3%
172 2
 
1.3%
340 2
 
1.3%
240 2
 
1.3%
405 2
 
1.3%
133 2
 
1.3%
411 2
 
1.3%
Other values (124) 128
84.2%
ValueCountFrequency (%)
80 1
0.7%
81 1
0.7%
90 1
0.7%
96 1
0.7%
100 1
0.7%
ValueCountFrequency (%)
7952 1
0.7%
7892 1
0.7%
7681 1
0.7%
7630 1
0.7%
7518 1
0.7%

pit_ind_shelt_pit_hud
Real number (ℝ)

Distinct123
Distinct (%)80.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean294.3947368
Minimum19
Maximum3280
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:01.107775image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile29
Q169
median139.5
Q3217.75
95-th percentile1350.35
Maximum3280
Range3261
Interquartile range (IQR)148.75

Descriptive statistics

Standard deviation657.5789446
Coefficient of variation (CV)2.233664065
Kurtosis14.40918364
Mean294.3947368
Median Absolute Deviation (MAD)75
Skewness3.978134695
Sum44748
Variance432410.0683
MonotonicityNot monotonic
2024-03-27T11:53:01.341072image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82 3
 
2.0%
161 3
 
2.0%
28 3
 
2.0%
56 3
 
2.0%
154 2
 
1.3%
233 2
 
1.3%
212 2
 
1.3%
103 2
 
1.3%
159 2
 
1.3%
121 2
 
1.3%
Other values (113) 128
84.2%
ValueCountFrequency (%)
19 1
 
0.7%
20 1
 
0.7%
23 1
 
0.7%
24 1
 
0.7%
28 3
2.0%
ValueCountFrequency (%)
3280 1
0.7%
3276 1
0.7%
3121 1
0.7%
3102 1
0.7%
3096 1
0.7%

pit_ind_unshelt_pit_hud
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)42.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.2236842
Minimum0
Maximum2144
Zeros6
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:01.555764image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median18.5
Q339.5
95-th percentile581.75
Maximum2144
Range2144
Interquartile range (IQR)32.5

Descriptive statistics

Standard deviation352.6839795
Coefficient of variation (CV)3.229006438
Kurtosis18.77865156
Mean109.2236842
Median Absolute Deviation (MAD)13.5
Skewness4.390984487
Sum16602
Variance124385.9894
MonotonicityNot monotonic
2024-03-27T11:53:01.776041image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 9
 
5.9%
3 7
 
4.6%
0 6
 
3.9%
14 6
 
3.9%
16 6
 
3.9%
30 5
 
3.3%
17 5
 
3.3%
6 5
 
3.3%
15 5
 
3.3%
36 5
 
3.3%
Other values (55) 93
61.2%
ValueCountFrequency (%)
0 6
3.9%
1 3
2.0%
2 2
 
1.3%
3 7
4.6%
4 4
2.6%
ValueCountFrequency (%)
2144 1
0.7%
1887 2
1.3%
1648 1
0.7%
1343 1
0.7%
1340 1
0.7%

pit_ind_hless_pit_hud
Real number (ℝ)

Distinct122
Distinct (%)80.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean403.6184211
Minimum23
Maximum5120
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:02.020577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile44
Q1106.75
median175
Q3252.25
95-th percentile2102.5
Maximum5120
Range5097
Interquartile range (IQR)145.5

Descriptive statistics

Standard deviation998.8210596
Coefficient of variation (CV)2.474666684
Kurtosis14.82376634
Mean403.6184211
Median Absolute Deviation (MAD)72
Skewness4.038145595
Sum61350
Variance997643.5091
MonotonicityNot monotonic
2024-03-27T11:53:02.264964image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
44 6
 
3.9%
175 4
 
2.6%
176 4
 
2.6%
51 4
 
2.6%
46 3
 
2.0%
122 3
 
2.0%
61 3
 
2.0%
132 2
 
1.3%
197 2
 
1.3%
171 2
 
1.3%
Other values (112) 119
78.3%
ValueCountFrequency (%)
23 1
0.7%
24 1
0.7%
33 1
0.7%
34 1
0.7%
38 1
0.7%
ValueCountFrequency (%)
5120 1
0.7%
5008 1
0.7%
4983 1
0.7%
4616 1
0.7%
4381 1
0.7%

pit_perfam_shelt_pit_hud
Real number (ℝ)

Distinct113
Distinct (%)74.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean270.2368421
Minimum23
Maximum3393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:02.514984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile44.3
Q186
median117
Q3159.25
95-th percentile1206.7
Maximum3393
Range3370
Interquartile range (IQR)73.25

Descriptive statistics

Standard deviation606.9552689
Coefficient of variation (CV)2.246012291
Kurtosis15.26350143
Mean270.2368421
Median Absolute Deviation (MAD)35.5
Skewness4.054970061
Sum41076
Variance368394.6985
MonotonicityNot monotonic
2024-03-27T11:53:02.780785image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111 4
 
2.6%
91 4
 
2.6%
56 3
 
2.0%
130 3
 
2.0%
135 3
 
2.0%
89 3
 
2.0%
95 3
 
2.0%
150 3
 
2.0%
99 3
 
2.0%
120 3
 
2.0%
Other values (103) 120
78.9%
ValueCountFrequency (%)
23 1
0.7%
30 1
0.7%
31 1
0.7%
38 2
1.3%
39 2
1.3%
ValueCountFrequency (%)
3393 1
0.7%
3079 1
0.7%
2876 1
0.7%
2875 1
0.7%
2841 1
0.7%

pit_perfam_unshelt_pit_hud
Real number (ℝ)

ZEROS 

Distinct37
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.59868421
Minimum0
Maximum175
Zeros70
Zeros (%)46.1%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:03.018954image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q314
95-th percentile72.95
Maximum175
Range175
Interquartile range (IQR)14

Descriptive statistics

Standard deviation29.30458
Coefficient of variation (CV)2.007343921
Kurtosis10.57939687
Mean14.59868421
Median Absolute Deviation (MAD)3
Skewness3.122097502
Sum2219
Variance858.7584089
MonotonicityNot monotonic
2024-03-27T11:53:03.351960image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
0 70
46.1%
3 9
 
5.9%
9 7
 
4.6%
7 6
 
3.9%
8 5
 
3.3%
17 4
 
2.6%
14 4
 
2.6%
4 4
 
2.6%
11 3
 
2.0%
6 3
 
2.0%
Other values (27) 37
24.3%
ValueCountFrequency (%)
0 70
46.1%
2 1
 
0.7%
3 9
 
5.9%
4 4
 
2.6%
5 2
 
1.3%
ValueCountFrequency (%)
175 1
0.7%
140 1
0.7%
127 2
1.3%
105 1
0.7%
101 2
1.3%

pit_perfam_hless_pit_hud
Real number (ℝ)

Distinct121
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean284.8355263
Minimum23
Maximum3498
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:03.651573image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile49.75
Q189
median123.5
Q3189
95-th percentile1239.75
Maximum3498
Range3475
Interquartile range (IQR)100

Descriptive statistics

Standard deviation614.6365905
Coefficient of variation (CV)2.157864921
Kurtosis15.29949927
Mean284.8355263
Median Absolute Deviation (MAD)44.5
Skewness4.045369494
Sum43295
Variance377778.1383
MonotonicityNot monotonic
2024-03-27T11:53:03.937294image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
111 3
 
2.0%
144 3
 
2.0%
95 3
 
2.0%
89 3
 
2.0%
74 3
 
2.0%
97 3
 
2.0%
126 2
 
1.3%
64 2
 
1.3%
39 2
 
1.3%
130 2
 
1.3%
Other values (111) 126
82.9%
ValueCountFrequency (%)
23 1
0.7%
30 1
0.7%
31 1
0.7%
38 2
1.3%
39 2
1.3%
ValueCountFrequency (%)
3498 1
0.7%
3088 1
0.7%
2944 1
0.7%
2909 1
0.7%
2902 1
0.7%

pit_ind_chronic_hless_pit_hud
Real number (ℝ)

ZEROS 

Distinct84
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.52631579
Minimum0
Maximum1377
Zeros7
Zeros (%)4.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:04.369920image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110.75
median33.5
Q364.5
95-th percentile340.2
Maximum1377
Range1377
Interquartile range (IQR)53.75

Descriptive statistics

Standard deviation218.8672811
Coefficient of variation (CV)2.472341463
Kurtosis19.83831765
Mean88.52631579
Median Absolute Deviation (MAD)25.5
Skewness4.415651175
Sum13456
Variance47902.88672
MonotonicityNot monotonic
2024-03-27T11:53:04.611492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 7
 
4.6%
5 5
 
3.3%
4 5
 
3.3%
15 4
 
2.6%
16 4
 
2.6%
46 4
 
2.6%
1 4
 
2.6%
38 4
 
2.6%
6 3
 
2.0%
9 3
 
2.0%
Other values (74) 109
71.7%
ValueCountFrequency (%)
0 7
4.6%
1 4
2.6%
2 1
 
0.7%
3 2
 
1.3%
4 5
3.3%
ValueCountFrequency (%)
1377 1
0.7%
1304 1
0.7%
1156 1
0.7%
962 1
0.7%
920 1
0.7%

pit_perfam_chronic_hless_pit_hud
Real number (ℝ)

MISSING  ZEROS 

Distinct23
Distinct (%)24.2%
Missing57
Missing (%)37.5%
Infinite0
Infinite (%)0.0%
Mean6.631578947
Minimum0
Maximum84
Zeros46
Zeros (%)30.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:04.972920image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q38
95-th percentile25
Maximum84
Range84
Interquartile range (IQR)8

Descriptive statistics

Standard deviation12.87009781
Coefficient of variation (CV)1.940729035
Kurtosis18.93202565
Mean6.631578947
Median Absolute Deviation (MAD)2
Skewness3.890597723
Sum630
Variance165.6394177
MonotonicityNot monotonic
2024-03-27T11:53:05.180629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
0 46
30.3%
2 7
 
4.6%
5 5
 
3.3%
3 4
 
2.6%
4 3
 
2.0%
7 3
 
2.0%
16 3
 
2.0%
12 2
 
1.3%
25 2
 
1.3%
6 2
 
1.3%
Other values (13) 18
 
11.8%
(Missing) 57
37.5%
ValueCountFrequency (%)
0 46
30.3%
2 7
 
4.6%
3 4
 
2.6%
4 3
 
2.0%
5 5
 
3.3%
ValueCountFrequency (%)
84 1
0.7%
70 1
0.7%
35 1
0.7%
27 1
0.7%
25 2
1.3%

pit_vet_hless_pit_hud
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)45.1%
Missing19
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean58.40601504
Minimum0
Maximum844
Zeros4
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:05.393500image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median20
Q331
95-th percentile285.2
Maximum844
Range844
Interquartile range (IQR)21

Descriptive statistics

Standard deviation158.3497298
Coefficient of variation (CV)2.711188731
Kurtosis15.97594651
Mean58.40601504
Median Absolute Deviation (MAD)10
Skewness4.130593574
Sum7768
Variance25074.63693
MonotonicityNot monotonic
2024-03-27T11:53:05.616405image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 7
 
4.6%
25 7
 
4.6%
10 6
 
3.9%
18 6
 
3.9%
20 5
 
3.3%
0 4
 
2.6%
4 4
 
2.6%
19 4
 
2.6%
24 4
 
2.6%
31 4
 
2.6%
Other values (50) 82
53.9%
(Missing) 19
 
12.5%
ValueCountFrequency (%)
0 4
2.6%
1 4
2.6%
2 3
2.0%
3 3
2.0%
4 4
2.6%
ValueCountFrequency (%)
844 1
0.7%
833 1
0.7%
819 1
0.7%
682 1
0.7%
635 1
0.7%

econ_urb_urbanicity
Real number (ℝ)

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum1
Maximum4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:05.787066image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3.45
Maximum4
Range3
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.797346593
Coefficient of variation (CV)0.3986732965
Kurtosis0.2128187919
Mean2
Median Absolute Deviation (MAD)0
Skewness0.6354409376
Sum304
Variance0.6357615894
MonotonicityNot monotonic
2024-03-27T11:53:05.943749image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
2 80
52.6%
1 40
26.3%
3 24
 
15.8%
4 8
 
5.3%
ValueCountFrequency (%)
1 40
26.3%
2 80
52.6%
3 24
 
15.8%
4 8
 
5.3%
ValueCountFrequency (%)
4 8
 
5.3%
3 24
 
15.8%
2 80
52.6%
1 40
26.3%

coctag
Numeric time series

NON STATIONARY  ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.125
Minimum0
Maximum1
Zeros133
Zeros (%)87.5%
Memory size2.4 KiB
2024-03-27T11:53:06.161222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3318122025
Coefficient of variation (CV)2.65449762
Kurtosis3.28928092
Mean0.125
Median Absolute Deviation (MAD)0
Skewness2.290452232
Sum19
Variance0.1100993377
MonotonicityDecreasing
Augmented Dickey-Fuller test p-value0.0757813716
2024-03-27T11:53:06.342668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
2024-03-27T11:53:06.834859image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:53:06.940434image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
0 133
87.5%
1 19
 
12.5%
ValueCountFrequency (%)
0 133
87.5%
1 19
 
12.5%
ValueCountFrequency (%)
1 19
 
12.5%
0 133
87.5%
2024-03-27T11:53:06.484867image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

panelvar
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean115
Minimum106
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:07.082412image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum106
5-th percentile106.55
Q1110
median115
Q3120
95-th percentile123.45
Maximum124
Range18
Interquartile range (IQR)10

Descriptive statistics

Standard deviation5.495332155
Coefficient of variation (CV)0.047785497
Kurtosis-1.206783893
Mean115
Median Absolute Deviation (MAD)5
Skewness0
Sum17480
Variance30.1986755
MonotonicityNot monotonic
2024-03-27T11:53:07.239112image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
107 8
 
5.3%
122 8
 
5.3%
116 8
 
5.3%
109 8
 
5.3%
110 8
 
5.3%
117 8
 
5.3%
121 8
 
5.3%
115 8
 
5.3%
113 8
 
5.3%
119 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
106 8
5.3%
107 8
5.3%
108 8
5.3%
109 8
5.3%
110 8
5.3%
ValueCountFrequency (%)
124 8
5.3%
123 8
5.3%
122 8
5.3%
121 8
5.3%
120 8
5.3%

hou_pol_totalind_hud
Real number (ℝ)

MISSING 

Distinct36
Distinct (%)94.7%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean1824.421053
Minimum175
Maximum21348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:07.417548image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum175
5-th percentile254
Q1426.75
median779
Q31199.25
95-th percentile4358.3
Maximum21348
Range21173
Interquartile range (IQR)772.5

Descriptive statistics

Standard deviation4461.429535
Coefficient of variation (CV)2.445394679
Kurtosis16.1293854
Mean1824.421053
Median Absolute Deviation (MAD)401.5
Skewness4.127448636
Sum69328
Variance19904353.49
MonotonicityNot monotonic
2024-03-27T11:53:07.596680image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
1229 2
 
1.3%
254 2
 
1.3%
1203 1
 
0.7%
681 1
 
0.7%
440 1
 
0.7%
350 1
 
0.7%
421 1
 
0.7%
1181 1
 
0.7%
1380 1
 
0.7%
464 1
 
0.7%
Other values (26) 26
 
17.1%
(Missing) 114
75.0%
ValueCountFrequency (%)
175 1
0.7%
254 2
1.3%
274 1
0.7%
286 1
0.7%
325 1
0.7%
ValueCountFrequency (%)
21348 1
0.7%
19439 1
0.7%
1697 1
0.7%
1549 1
0.7%
1380 1
0.7%

hou_pol_totalday_hud
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean245167.5789
Minimum18725
Maximum2874366
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:07.763942image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18725
5-th percentile30566.85
Q167541
median86167.5
Q3115284.75
95-th percentile686495.5
Maximum2874366
Range2855641
Interquartile range (IQR)47743.75

Descriptive statistics

Standard deviation611132.7776
Coefficient of variation (CV)2.492714494
Kurtosis15.79174123
Mean245167.5789
Median Absolute Deviation (MAD)20817.5
Skewness4.080057777
Sum9316368
Variance3.734832718 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:07.945650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
101052 1
 
0.7%
31326 1
 
0.7%
76650 1
 
0.7%
93720 1
 
0.7%
96842 1
 
0.7%
95988 1
 
0.7%
58928 1
 
0.7%
126260 1
 
0.7%
31750 1
 
0.7%
103500 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
18725 1
0.7%
26265 1
0.7%
31326 1
0.7%
31750 1
0.7%
34524 1
0.7%
ValueCountFrequency (%)
2874366 1
0.7%
2690940 1
0.7%
332770 1
0.7%
291212 1
0.7%
281314 1
0.7%

hou_pol_totalexit_hud
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)97.4%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean580.1842105
Minimum22
Maximum6434
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:08.130915image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile50.2
Q1151.75
median237
Q3370
95-th percentile2025.85
Maximum6434
Range6412
Interquartile range (IQR)218.25

Descriptive statistics

Standard deviation1303.241133
Coefficient of variation (CV)2.246254051
Kurtosis15.68251028
Mean580.1842105
Median Absolute Deviation (MAD)115.5
Skewness4.018372899
Sum22047
Variance1698437.452
MonotonicityNot monotonic
2024-03-27T11:53:08.311881image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
309 2
 
1.3%
174 1
 
0.7%
234 1
 
0.7%
58 1
 
0.7%
466 1
 
0.7%
523 1
 
0.7%
55 1
 
0.7%
210 1
 
0.7%
23 1
 
0.7%
147 1
 
0.7%
Other values (27) 27
 
17.8%
(Missing) 114
75.0%
ValueCountFrequency (%)
22 1
0.7%
23 1
0.7%
55 1
0.7%
58 1
0.7%
61 1
0.7%
ValueCountFrequency (%)
6434 1
0.7%
5408 1
0.7%
1429 1
0.7%
539 1
0.7%
523 1
0.7%

hou_pol_numret6mos_hud
Real number (ℝ)

MISSING  ZEROS 

Distinct29
Distinct (%)76.3%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean65.42105263
Minimum0
Maximum654
Zeros2
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:08.486961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q16
median14
Q345.5
95-th percentile505.9
Maximum654
Range654
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation150.1661479
Coefficient of variation (CV)2.295379574
Kurtosis9.393472062
Mean65.42105263
Median Absolute Deviation (MAD)12
Skewness3.213413703
Sum2486
Variance22549.87198
MonotonicityNot monotonic
2024-03-27T11:53:08.654002image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
2 4
 
2.6%
6 3
 
2.0%
14 2
 
1.3%
7 2
 
1.3%
12 2
 
1.3%
0 2
 
1.3%
72 1
 
0.7%
4 1
 
0.7%
13 1
 
0.7%
46 1
 
0.7%
Other values (19) 19
 
12.5%
(Missing) 114
75.0%
ValueCountFrequency (%)
0 2
1.3%
2 4
2.6%
3 1
 
0.7%
4 1
 
0.7%
6 3
2.0%
ValueCountFrequency (%)
654 1
0.7%
528 1
0.7%
502 1
0.7%
88 1
0.7%
72 1
0.7%

hou_pol_numret12mos_hud
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)81.6%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean92.26315789
Minimum0
Maximum971
Zeros1
Zeros (%)0.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:08.829217image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.85
Q111.25
median24
Q367.5
95-th percentile629.35
Maximum971
Range971
Interquartile range (IQR)56.25

Descriptive statistics

Standard deviation208.9360026
Coefficient of variation (CV)2.264565916
Kurtosis10.81988586
Mean92.26315789
Median Absolute Deviation (MAD)14.5
Skewness3.364423401
Sum3506
Variance43654.2532
MonotonicityNot monotonic
2024-03-27T11:53:09.003426image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
10 3
 
2.0%
2 2
 
1.3%
29 2
 
1.3%
69 2
 
1.3%
14 2
 
1.3%
15 2
 
1.3%
11 1
 
0.7%
3 1
 
0.7%
5 1
 
0.7%
106 1
 
0.7%
Other values (21) 21
 
13.8%
(Missing) 114
75.0%
ValueCountFrequency (%)
0 1
0.7%
1 1
0.7%
2 2
1.3%
3 1
0.7%
5 1
0.7%
ValueCountFrequency (%)
971 1
0.7%
739 1
0.7%
610 1
0.7%
110 1
0.7%
106 1
0.7%

hou_pol_fedfundcoc
Real number (ℝ)

Distinct150
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49.88545105
Minimum4.38717
Maximum766.92567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:09.189988image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.38717
5-th percentile5.942752
Q18.5952825
median12.543125
Q320.737895
95-th percentile298.214922
Maximum766.92567
Range762.5385
Interquartile range (IQR)12.1426125

Descriptive statistics

Standard deviation148.2105611
Coefficient of variation (CV)2.971017761
Kurtosis15.06244535
Mean49.88545105
Median Absolute Deviation (MAD)5.3304
Skewness4.075326202
Sum7582.58856
Variance21966.37042
MonotonicityNot monotonic
2024-03-27T11:53:09.401162image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.5072 2
 
1.3%
8.84256 2
 
1.3%
21.37755 1
 
0.7%
36.14346 1
 
0.7%
15.28983 1
 
0.7%
16.55382 1
 
0.7%
8.42336 1
 
0.7%
9.75924 1
 
0.7%
9.43042 1
 
0.7%
7.10403 1
 
0.7%
Other values (140) 140
92.1%
ValueCountFrequency (%)
4.38717 1
0.7%
4.4554 1
0.7%
5.07123 1
0.7%
5.14294 1
0.7%
5.68565 1
0.7%
ValueCountFrequency (%)
766.92567 1
0.7%
748.72298 1
0.7%
713.13481 1
0.7%
661.87271 1
0.7%
632.64838 1
0.7%

hou_pol_fund_project
Real number (ℝ)

Distinct29
Distinct (%)19.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.42105263
Minimum3
Maximum234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:09.587930image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q18
median12
Q315
95-th percentile103.65
Maximum234
Range231
Interquartile range (IQR)7

Descriptive statistics

Standard deviation46.16821049
Coefficient of variation (CV)2.059145538
Kurtosis14.52648394
Mean22.42105263
Median Absolute Deviation (MAD)4
Skewness4.012261153
Sum3408
Variance2131.50366
MonotonicityNot monotonic
2024-03-27T11:53:09.912980image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
12 21
13.8%
8 13
 
8.6%
7 13
 
8.6%
16 13
 
8.6%
11 11
 
7.2%
15 10
 
6.6%
14 10
 
6.6%
13 9
 
5.9%
9 8
 
5.3%
10 6
 
3.9%
Other values (19) 38
25.0%
ValueCountFrequency (%)
3 3
 
2.0%
4 4
 
2.6%
5 5
 
3.3%
6 3
 
2.0%
7 13
8.6%
ValueCountFrequency (%)
234 1
0.7%
229 1
0.7%
226 1
0.7%
218 1
0.7%
213 1
0.7%

hou_pol_bed_es_hic_hud
Real number (ℝ)

Distinct104
Distinct (%)68.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean274.9407895
Minimum10
Maximum2721
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:10.094492image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile20.55
Q181
median149
Q3257.25
95-th percentile1051.5
Maximum2721
Range2711
Interquartile range (IQR)176.25

Descriptive statistics

Standard deviation502.4310072
Coefficient of variation (CV)1.827415307
Kurtosis14.88962008
Mean274.9407895
Median Absolute Deviation (MAD)77
Skewness3.937521267
Sum41791
Variance252436.917
MonotonicityNot monotonic
2024-03-27T11:53:10.298568image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118 5
 
3.3%
316 5
 
3.3%
14 4
 
2.6%
162 4
 
2.6%
99 4
 
2.6%
54 4
 
2.6%
47 3
 
2.0%
127 3
 
2.0%
104 3
 
2.0%
142 3
 
2.0%
Other values (94) 114
75.0%
ValueCountFrequency (%)
10 1
 
0.7%
11 1
 
0.7%
14 4
2.6%
16 1
 
0.7%
20 1
 
0.7%
ValueCountFrequency (%)
2721 1
0.7%
2694 1
0.7%
2648 1
0.7%
2536 1
0.7%
2253 1
0.7%

hou_pol_bed_oph_hic_hud
Real number (ℝ)

ZEROS 

Distinct21
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.50657895
Minimum0
Maximum3217
Zeros129
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:10.462049image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile98.7
Maximum3217
Range3217
Interquartile range (IQR)0

Descriptive statistics

Standard deviation263.029019
Coefficient of variation (CV)7.850070861
Kurtosis144.8165734
Mean33.50657895
Median Absolute Deviation (MAD)0
Skewness11.90580688
Sum5093
Variance69184.26486
MonotonicityNot monotonic
2024-03-27T11:53:10.631295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 129
84.9%
9 2
 
1.3%
24 2
 
1.3%
60 2
 
1.3%
38 1
 
0.7%
78 1
 
0.7%
134 1
 
0.7%
47 1
 
0.7%
61 1
 
0.7%
189 1
 
0.7%
Other values (11) 11
 
7.2%
ValueCountFrequency (%)
0 129
84.9%
2 1
 
0.7%
9 2
 
1.3%
16 1
 
0.7%
24 2
 
1.3%
ValueCountFrequency (%)
3217 1
0.7%
240 1
0.7%
210 1
0.7%
189 1
0.7%
177 1
0.7%

hou_pol_bed_psh_hic_hud
Real number (ℝ)

Distinct103
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean613.0723684
Minimum18
Maximum10648
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:10.822691image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile26
Q184
median120
Q3243.75
95-th percentile3811.45
Maximum10648
Range10630
Interquartile range (IQR)159.75

Descriptive statistics

Standard deviation1974.825341
Coefficient of variation (CV)3.221194499
Kurtosis15.16433177
Mean613.0723684
Median Absolute Deviation (MAD)73
Skewness4.088709955
Sum93187
Variance3899935.127
MonotonicityNot monotonic
2024-03-27T11:53:11.025746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 5
 
3.3%
53 4
 
2.6%
119 4
 
2.6%
89 3
 
2.0%
115 3
 
2.0%
190 3
 
2.0%
18 3
 
2.0%
104 3
 
2.0%
31 3
 
2.0%
288 3
 
2.0%
Other values (93) 118
77.6%
ValueCountFrequency (%)
18 3
2.0%
20 2
 
1.3%
24 1
 
0.7%
26 5
3.3%
28 2
 
1.3%
ValueCountFrequency (%)
10648 1
0.7%
9385 1
0.7%
9063 1
0.7%
8802 1
0.7%
8761 1
0.7%

hou_pol_bed_rrh_hic_hud
Real number (ℝ)

ZEROS 

Distinct20
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.34868421
Minimum0
Maximum904
Zeros132
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:11.193987image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile24.45
Maximum904
Range904
Interquartile range (IQR)0

Descriptive statistics

Standard deviation111.6415895
Coefficient of variation (CV)6.084446612
Kurtosis52.91388431
Mean18.34868421
Median Absolute Deviation (MAD)0
Skewness7.233667592
Sum2789
Variance12463.8445
MonotonicityNot monotonic
2024-03-27T11:53:11.353545image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
0 132
86.8%
19 2
 
1.3%
7 1
 
0.7%
24 1
 
0.7%
23 1
 
0.7%
17 1
 
0.7%
30 1
 
0.7%
554 1
 
0.7%
3 1
 
0.7%
29 1
 
0.7%
Other values (10) 10
 
6.6%
ValueCountFrequency (%)
0 132
86.8%
3 1
 
0.7%
4 1
 
0.7%
7 1
 
0.7%
8 1
 
0.7%
ValueCountFrequency (%)
904 1
0.7%
885 1
0.7%
554 1
0.7%
128 1
0.7%
64 1
0.7%

hou_pol_bed_sh_hic_hud
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.368421053
Minimum0
Maximum85
Zeros125
Zeros (%)82.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:11.495650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile38.4
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation14.76961451
Coefficient of variation (CV)2.751202703
Kurtosis11.16274193
Mean5.368421053
Median Absolute Deviation (MAD)0
Skewness3.316797099
Sum816
Variance218.1415127
MonotonicityNot monotonic
2024-03-27T11:53:11.634182image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 125
82.2%
24 8
 
5.3%
15 7
 
4.6%
56 6
 
3.9%
7 4
 
2.6%
85 1
 
0.7%
70 1
 
0.7%
ValueCountFrequency (%)
0 125
82.2%
7 4
 
2.6%
15 7
 
4.6%
24 8
 
5.3%
56 6
 
3.9%
ValueCountFrequency (%)
85 1
 
0.7%
70 1
 
0.7%
56 6
3.9%
24 8
5.3%
15 7
4.6%

hou_pol_bed_th_hic_hud
Real number (ℝ)

Distinct105
Distinct (%)69.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean389.2960526
Minimum15
Maximum4661
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:11.802065image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile68
Q1122.5
median156.5
Q3202.5
95-th percentile2134.35
Maximum4661
Range4646
Interquartile range (IQR)80

Descriptive statistics

Standard deviation928.5979237
Coefficient of variation (CV)2.385325814
Kurtosis14.40347428
Mean389.2960526
Median Absolute Deviation (MAD)39
Skewness3.996108033
Sum59173
Variance862294.1038
MonotonicityNot monotonic
2024-03-27T11:53:11.991834image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
124 6
 
3.9%
175 4
 
2.6%
164 4
 
2.6%
114 3
 
2.0%
141 3
 
2.0%
161 3
 
2.0%
135 3
 
2.0%
68 3
 
2.0%
177 3
 
2.0%
62 3
 
2.0%
Other values (95) 117
77.0%
ValueCountFrequency (%)
15 2
1.3%
58 1
 
0.7%
62 3
2.0%
68 3
2.0%
72 1
 
0.7%
ValueCountFrequency (%)
4661 1
0.7%
4508 1
0.7%
4453 1
0.7%
4169 1
0.7%
4167 1
0.7%

hou_pol_perm_bed_hic_hud
Real number (ℝ)

Distinct108
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean664.9276316
Minimum18
Maximum13156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:12.183386image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18
5-th percentile26
Q188.75
median137
Q3248.75
95-th percentile3903.3
Maximum13156
Range13138
Interquartile range (IQR)160

Descriptive statistics

Standard deviation2168.733375
Coefficient of variation (CV)3.261608139
Kurtosis17.5038527
Mean664.9276316
Median Absolute Deviation (MAD)78
Skewness4.282812454
Sum101069
Variance4703404.452
MonotonicityNot monotonic
2024-03-27T11:53:12.391022image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 5
 
3.3%
53 4
 
2.6%
18 3
 
2.0%
150 3
 
2.0%
104 3
 
2.0%
119 3
 
2.0%
288 3
 
2.0%
190 3
 
2.0%
96 3
 
2.0%
89 3
 
2.0%
Other values (98) 119
78.3%
ValueCountFrequency (%)
18 3
2.0%
20 2
 
1.3%
24 1
 
0.7%
26 5
3.3%
30 1
 
0.7%
ValueCountFrequency (%)
13156 1
0.7%
11728 1
0.7%
10158 1
0.7%
8802 1
0.7%
8761 1
0.7%

hou_pol_temp_bed_hic_hud
Real number (ℝ)

Distinct121
Distinct (%)79.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean669.6052632
Minimum89
Maximum7157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:12.585968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum89
5-th percentile129.75
Q1214
median325.5
Q3461
95-th percentile3115.95
Maximum7157
Range7068
Interquartile range (IQR)247

Descriptive statistics

Standard deviation1431.963937
Coefficient of variation (CV)2.138519537
Kurtosis14.43813194
Mean669.6052632
Median Absolute Deviation (MAD)120.5
Skewness3.996141076
Sum101780
Variance2050520.717
MonotonicityNot monotonic
2024-03-27T11:53:12.787361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
244 4
 
2.6%
210 3
 
2.0%
116 3
 
2.0%
214 3
 
2.0%
185 3
 
2.0%
204 2
 
1.3%
228 2
 
1.3%
319 2
 
1.3%
356 2
 
1.3%
241 2
 
1.3%
Other values (111) 126
82.9%
ValueCountFrequency (%)
89 2
1.3%
92 2
1.3%
94 1
 
0.7%
116 3
2.0%
141 1
 
0.7%
ValueCountFrequency (%)
7157 1
0.7%
6917 1
0.7%
6907 1
0.7%
6817 1
0.7%
6779 1
0.7%

dem_pop_pop_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean677275.5526
Minimum104129
Maximum5284796
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:12.987014image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum104129
5-th percentile106954.6
Q1228548.75
median397647.5
Q3657281.5
95-th percentile2853203.4
Maximum5284796
Range5180667
Interquartile range (IQR)428732.75

Descriptive statistics

Standard deviation1104093.465
Coefficient of variation (CV)1.630198316
Kurtosis13.03755845
Mean677275.5526
Median Absolute Deviation (MAD)189172.5
Skewness3.752093716
Sum102945884
Variance1.21902238 × 1012
MonotonicityNot monotonic
2024-03-27T11:53:13.265877image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
393713 1
 
0.7%
398689 1
 
0.7%
532553 1
 
0.7%
265598 1
 
0.7%
263120 1
 
0.7%
931153 1
 
0.7%
197591 1
 
0.7%
704935 1
 
0.7%
262081 1
 
0.7%
403611 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
104129 1
0.7%
104312 1
0.7%
104407 1
0.7%
104410 1
0.7%
104447 1
0.7%
ValueCountFrequency (%)
5284796 1
0.7%
5253756 1
0.7%
5250498 1
0.7%
5245831 1
0.7%
5237174 1
0.7%

dem_pop_male_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean332583.5855
Minimum51130
Maximum2577677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:13.477361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum51130
5-th percentile51931.35
Q1114308.75
median195397
Q3327510
95-th percentile1385810.75
Maximum2577677
Range2526547
Interquartile range (IQR)213201.25

Descriptive statistics

Standard deviation535163.6829
Coefficient of variation (CV)1.609110329
Kurtosis12.95788566
Mean332583.5855
Median Absolute Deviation (MAD)93023.5
Skewness3.736282101
Sum50552705
Variance2.864001675 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:13.686719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
193723 1
 
0.7%
199315 1
 
0.7%
264908 1
 
0.7%
129553 1
 
0.7%
127103 1
 
0.7%
457337 1
 
0.7%
94891 1
 
0.7%
352423 1
 
0.7%
125485 1
 
0.7%
200863 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
51130 1
0.7%
51487 1
0.7%
51620 1
0.7%
51721 1
0.7%
51776 1
0.7%
ValueCountFrequency (%)
2577677 1
0.7%
2546694 1
0.7%
2544066 1
0.7%
2543906 1
0.7%
2538734 1
0.7%

dem_pop_female_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean344691.9671
Minimum52402
Maximum2707119
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:13.888571image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum52402
5-th percentile54859.95
Q1114350.75
median200660.5
Q3329771.5
95-th percentile1468752.25
Maximum2707119
Range2654717
Interquartile range (IQR)215420.75

Descriptive statistics

Standard deviation568961.9718
Coefficient of variation (CV)1.650638907
Kurtosis13.11044512
Mean344691.9671
Median Absolute Deviation (MAD)90389
Skewness3.766463124
Sum52393179
Variance3.237177254 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:14.097042image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199990 1
 
0.7%
199374 1
 
0.7%
267645 1
 
0.7%
136045 1
 
0.7%
136017 1
 
0.7%
473816 1
 
0.7%
102700 1
 
0.7%
352512 1
 
0.7%
136596 1
 
0.7%
202748 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
52402 1
0.7%
52462 1
0.7%
52509 1
0.7%
52589 1
0.7%
52671 1
0.7%
ValueCountFrequency (%)
2707119 1
0.7%
2707062 1
0.7%
2706592 1
0.7%
2701765 1
0.7%
2700852 1
0.7%

dem_pop_child_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean178842.5066
Minimum26570
Maximum1447303
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:14.454261image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum26570
5-th percentile28191.6
Q156184.25
median99758.5
Q3162165.25
95-th percentile726347.8
Maximum1447303
Range1420733
Interquartile range (IQR)105981

Descriptive statistics

Standard deviation284170.4391
Coefficient of variation (CV)1.588942386
Kurtosis12.79541275
Mean178842.5066
Median Absolute Deviation (MAD)46382
Skewness3.696679143
Sum27184061
Variance8.075283847 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:14.660906image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100750 1
 
0.7%
95235 1
 
0.7%
153850 1
 
0.7%
64437 1
 
0.7%
68397 1
 
0.7%
237192 1
 
0.7%
49138 1
 
0.7%
196069 1
 
0.7%
74099 1
 
0.7%
100975 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
26570 1
0.7%
26716 1
0.7%
27077 1
0.7%
27465 1
0.7%
27823 1
0.7%
ValueCountFrequency (%)
1447303 1
0.7%
1372000 1
0.7%
1360600 1
0.7%
1348945 1
0.7%
1332936 1
0.7%

dem_pop_adult_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407271.6118
Minimum59900
Maximum3245527
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:14.866593image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum59900
5-th percentile64150.65
Q1133069.75
median230771
Q3374135.25
95-th percentile1755937.65
Maximum3245527
Range3185627
Interquartile range (IQR)241065.5

Descriptive statistics

Standard deviation681239.8885
Coefficient of variation (CV)1.672691807
Kurtosis13.14722248
Mean407271.6118
Median Absolute Deviation (MAD)102091
Skewness3.77388996
Sum61905285
Variance4.640877856 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:15.074034image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
226117 1
 
0.7%
229705 1
 
0.7%
311468 1
 
0.7%
157690 1
 
0.7%
155900 1
 
0.7%
559172 1
 
0.7%
115541 1
 
0.7%
415876 1
 
0.7%
154647 1
 
0.7%
235610 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
59900 1
0.7%
60933 1
0.7%
61951 1
0.7%
62476 1
0.7%
62946 1
0.7%
ValueCountFrequency (%)
3245527 1
0.7%
3244383 1
0.7%
3235239 1
0.7%
3233250 1
0.7%
3223384 1
0.7%

dem_pop_senior_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91161.43421
Minimum10288
Maximum726200
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:15.269933image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10288
5-th percentile15326.3
Q134516.75
median56760.5
Q387587.5
95-th percentile354516.35
Maximum726200
Range715912
Interquartile range (IQR)53070.75

Descriptive statistics

Standard deviation140110.5366
Coefficient of variation (CV)1.536949674
Kurtosis13.05662012
Mean91161.43421
Median Absolute Deviation (MAD)24260.5
Skewness3.726909388
Sum13856538
Variance1.963096248 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:15.472613image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
66846 1
 
0.7%
73749 1
 
0.7%
67235 1
 
0.7%
43471 1
 
0.7%
38823 1
 
0.7%
134789 1
 
0.7%
32912 1
 
0.7%
92990 1
 
0.7%
33335 1
 
0.7%
67026 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
10288 1
0.7%
10357 1
0.7%
10516 1
0.7%
10933 1
0.7%
11335 1
0.7%
ValueCountFrequency (%)
726200 1
0.7%
708519 1
0.7%
691313 1
0.7%
673179 1
0.7%
654979 1
0.7%

dem_soc_white_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean426337.1382
Minimum80707
Maximum2392273
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:15.685190image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum80707
5-th percentile83348.3
Q1170117.75
median305665.5
Q3520816
95-th percentile1366717.55
Maximum2392273
Range2311566
Interquartile range (IQR)350698.25

Descriptive statistics

Standard deviation469697.2728
Coefficient of variation (CV)1.101703865
Kurtosis10.41799754
Mean426337.1382
Median Absolute Deviation (MAD)142296
Skewness3.226215348
Sum64803245
Variance2.20615528 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:15.902391image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
326000 1
 
0.7%
376990 1
 
0.7%
305412 1
 
0.7%
226668 1
 
0.7%
163404 1
 
0.7%
628477 1
 
0.7%
159376 1
 
0.7%
439252 1
 
0.7%
172187 1
 
0.7%
380594 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
80707 1
0.7%
81230 1
0.7%
81662 1
0.7%
81744 1
0.7%
82006 1
0.7%
ValueCountFrequency (%)
2392273 1
0.7%
2284497 1
0.7%
2279978 1
0.7%
2277532 1
0.7%
2272866 1
0.7%

dem_soc_black_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96568.58553
Minimum3073
Maximum1298400
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:16.108965image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3073
5-th percentile5696.45
Q118436.5
median28920
Q344844.25
95-th percentile597906.7
Maximum1298400
Range1295327
Interquartile range (IQR)26407.75

Descriptive statistics

Standard deviation274756.53
Coefficient of variation (CV)2.845195759
Kurtosis14.38433302
Mean96568.58553
Median Absolute Deviation (MAD)15222
Skewness4.008703694
Sum14678425
Variance7.549115076 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:16.322973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36803 1
 
0.7%
7065 1
 
0.7%
28363 1
 
0.7%
22391 1
 
0.7%
79312 1
 
0.7%
45152 1
 
0.7%
24939 1
 
0.7%
48192 1
 
0.7%
73229 1
 
0.7%
9253 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
3073 1
0.7%
3152 1
0.7%
3419 1
0.7%
3597 1
0.7%
3813 1
0.7%
ValueCountFrequency (%)
1298400 1
0.7%
1268764 1
0.7%
1262875 1
0.7%
1258724 1
0.7%
1250913 1
0.7%

dem_soc_native_census
Real number (ℝ)

Distinct143
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1042.111842
Minimum121
Maximum7414
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:16.522417image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum121
5-th percentile193.55
Q1445
median658
Q31069.5
95-th percentile3745.05
Maximum7414
Range7293
Interquartile range (IQR)624.5

Descriptive statistics

Standard deviation1380.870934
Coefficient of variation (CV)1.325069804
Kurtosis12.43956549
Mean1042.111842
Median Absolute Deviation (MAD)288
Skewness3.608299993
Sum158401
Variance1906804.537
MonotonicityNot monotonic
2024-03-27T11:53:16.720344image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
442 2
 
1.3%
965 2
 
1.3%
555 2
 
1.3%
631 2
 
1.3%
854 2
 
1.3%
445 2
 
1.3%
1109 2
 
1.3%
374 2
 
1.3%
125 2
 
1.3%
1207 1
 
0.7%
Other values (133) 133
87.5%
ValueCountFrequency (%)
121 1
0.7%
125 2
1.3%
135 1
0.7%
137 1
0.7%
150 1
0.7%
ValueCountFrequency (%)
7414 1
0.7%
6814 1
0.7%
6748 1
0.7%
6686 1
0.7%
6610 1
0.7%

dem_soc_asian_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33453.21711
Minimum1116
Maximum381472
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:16.917441image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1116
5-th percentile1384.35
Q12695.75
median7515
Q320053
95-th percentile198139.1
Maximum381472
Range380356
Interquartile range (IQR)17357.25

Descriptive statistics

Standard deviation78316.079
Coefficient of variation (CV)2.341062707
Kurtosis11.91807329
Mean33453.21711
Median Absolute Deviation (MAD)5180
Skewness3.555296662
Sum5084889
Variance6133408231
MonotonicityNot monotonic
2024-03-27T11:53:17.122706image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9030 1
 
0.7%
2250 1
 
0.7%
21426 1
 
0.7%
2563 1
 
0.7%
3470 1
 
0.7%
108986 1
 
0.7%
3873 1
 
0.7%
53303 1
 
0.7%
3192 1
 
0.7%
2189 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1116 1
0.7%
1130 1
0.7%
1196 1
0.7%
1237 1
0.7%
1247 1
0.7%
ValueCountFrequency (%)
381472 1
0.7%
373495 1
0.7%
364836 1
0.7%
355318 1
0.7%
345279 1
0.7%

dem_soc_pacific_census
Real number (ℝ)

Distinct114
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean187.5328947
Minimum24
Maximum1965
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:17.327818image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile36.65
Q185.5
median127
Q3178.75
95-th percentile652.35
Maximum1965
Range1941
Interquartile range (IQR)93.25

Descriptive statistics

Standard deviation251.4234421
Coefficient of variation (CV)1.340689816
Kurtosis20.90804366
Mean187.5328947
Median Absolute Deviation (MAD)45.5
Skewness4.232676568
Sum28505
Variance63213.74726
MonotonicityNot monotonic
2024-03-27T11:53:17.538522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107 5
 
3.3%
42 4
 
2.6%
96 3
 
2.0%
121 3
 
2.0%
54 3
 
2.0%
28 3
 
2.0%
123 3
 
2.0%
152 3
 
2.0%
100 3
 
2.0%
103 2
 
1.3%
Other values (104) 120
78.9%
ValueCountFrequency (%)
24 1
 
0.7%
27 2
1.3%
28 3
2.0%
29 1
 
0.7%
35 1
 
0.7%
ValueCountFrequency (%)
1965 1
0.7%
1079 1
0.7%
1061 1
0.7%
1049 1
0.7%
1048 1
0.7%

dem_soc_racetwo_census
Real number (ℝ)

Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9481.598684
Minimum1230
Maximum74798
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:17.761373image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1230
5-th percentile1685.55
Q13598
median5941.5
Q38996.5
95-th percentile32553.7
Maximum74798
Range73568
Interquartile range (IQR)5398.5

Descriptive statistics

Standard deviation14244.19716
Coefficient of variation (CV)1.502299099
Kurtosis13.43327608
Mean9481.598684
Median Absolute Deviation (MAD)2602
Skewness3.767833044
Sum1441203
Variance202897152.8
MonotonicityNot monotonic
2024-03-27T11:53:17.960698image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4423 2
 
1.3%
11657 1
 
0.7%
1588 1
 
0.7%
7011 1
 
0.7%
4737 1
 
0.7%
7170 1
 
0.7%
6046 1
 
0.7%
8598 1
 
0.7%
3887 1
 
0.7%
10349 1
 
0.7%
Other values (141) 141
92.8%
ValueCountFrequency (%)
1230 1
0.7%
1415 1
0.7%
1433 1
0.7%
1489 1
0.7%
1501 1
0.7%
ValueCountFrequency (%)
74798 1
0.7%
73408 1
0.7%
71835 1
0.7%
70020 1
0.7%
67957 1
0.7%

dem_soc_hispanic_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110205.3684
Minimum2078
Maximum1321944
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:18.168119image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2078
5-th percentile3015.4
Q18194.5
median14111.5
Q3120923
95-th percentile643719.6
Maximum1321944
Range1319866
Interquartile range (IQR)112728.5

Descriptive statistics

Standard deviation281913.1964
Coefficient of variation (CV)2.558071358
Kurtosis13.43496352
Mean110205.3684
Median Absolute Deviation (MAD)11866.5
Skewness3.828291402
Sum16751216
Variance7.947505033 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:18.537876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13552 1
 
0.7%
7641 1
 
0.7%
169470 1
 
0.7%
8452 1
 
0.7%
10475 1
 
0.7%
132583 1
 
0.7%
4488 1
 
0.7%
151084 1
 
0.7%
9108 1
 
0.7%
7199 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
2078 1
0.7%
2094 1
0.7%
2114 1
0.7%
2179 1
0.7%
2240 1
0.7%
ValueCountFrequency (%)
1321944 1
0.7%
1313544 1
0.7%
1304358 1
0.7%
1293730 1
0.7%
1279935 1
0.7%

dem_age_boom_census
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.3054321596
Minimum0.2410179526
Maximum0.3368095756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:18.712157image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.2410179526
5-th percentile0.2457229495
Q10.2943426967
median0.3133351803
Q30.3232405037
95-th percentile0.3292152226
Maximum0.3368095756
Range0.095791623
Interquartile range (IQR)0.028897807

Descriptive statistics

Standard deviation0.02676842854
Coefficient of variation (CV)0.08764115923
Kurtosis1.298401712
Mean0.3054321596
Median Absolute Deviation (MAD)0.01014631987
Skewness-1.386310306
Sum5.803211033
Variance0.0007165487664
MonotonicityNot monotonic
2024-03-27T11:53:18.883154image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.3276582062 1
 
0.7%
0.3368095756 1
 
0.7%
0.3165750206 1
 
0.7%
0.2838000953 1
 
0.7%
0.2825025618 1
 
0.7%
0.3243623972 1
 
0.7%
0.2820928097 1
 
0.7%
0.2462457269 1
 
0.7%
0.3283714056 1
 
0.7%
0.3229995072 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.2410179526 1
0.7%
0.2462457269 1
0.7%
0.2820928097 1
0.7%
0.2825025618 1
0.7%
0.2838000953 1
0.7%
ValueCountFrequency (%)
0.3368095756 1
0.7%
0.3283714056 1
0.7%
0.3276582062 1
0.7%
0.3243623972 1
0.7%
0.3234815001 1
0.7%

total_rent_inventory_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean89316.94737
Minimum14803
Maximum909155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:19.056765image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum14803
5-th percentile15179.85
Q128239.75
median42694.5
Q365442.75
95-th percentile211407.45
Maximum909155
Range894352
Interquartile range (IQR)37203

Descriptive statistics

Standard deviation190490.2039
Coefficient of variation (CV)2.132744227
Kurtosis15.9020171
Mean89316.94737
Median Absolute Deviation (MAD)16263
Skewness4.097723548
Sum3394044
Variance3.628651779 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:19.240457image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
853823 1
 
0.7%
18942 1
 
0.7%
26120 1
 
0.7%
66129 1
 
0.7%
46194 1
 
0.7%
89172 1
 
0.7%
41896 1
 
0.7%
48073 1
 
0.7%
40114 1
 
0.7%
42610 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
14803 1
0.7%
15043 1
0.7%
15204 1
0.7%
16979 1
0.7%
18942 1
0.7%
ValueCountFrequency (%)
909155 1
0.7%
853823 1
0.7%
98040 1
0.7%
89172 1
0.7%
79513 1
0.7%

dem_soc_ed_bach_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.3075322019
Minimum0.1811373234
Maximum0.5022605658
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:19.415539image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1811373234
5-th percentile0.1980660945
Q10.234158244
median0.2881119996
Q30.3521693423
95-th percentile0.4692441955
Maximum0.5022605658
Range0.3211232424
Interquartile range (IQR)0.1180110984

Descriptive statistics

Standard deviation0.08886626251
Coefficient of variation (CV)0.2889657147
Kurtosis-0.4555546468
Mean0.3075322019
Median Absolute Deviation (MAD)0.05953437835
Skewness0.6271512959
Sum11.68622367
Variance0.007897212613
MonotonicityNot monotonic
2024-03-27T11:53:19.600406image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.3643923402 1
 
0.7%
0.3385794759 1
 
0.7%
0.2301412821 1
 
0.7%
0.1990022212 1
 
0.7%
0.2758971155 1
 
0.7%
0.4904952645 1
 
0.7%
0.1811373234 1
 
0.7%
0.3301286399 1
 
0.7%
0.4500995874 1
 
0.7%
0.3357281685 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.1811373234 1
0.7%
0.1927613765 1
0.7%
0.1990022212 1
0.7%
0.1996376663 1
0.7%
0.2048452795 1
0.7%
ValueCountFrequency (%)
0.5022605658 1
0.7%
0.4904952645 1
0.7%
0.4654940069 1
0.7%
0.4512101412 1
0.7%
0.4500995874 1
0.7%

dem_soc_ed_hsgrad_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.2723287567
Minimum0.1650304496
Maximum0.3668211699
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:19.780572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1650304496
5-th percentile0.1909557357
Q10.2329864129
median0.2665940821
Q30.3123931736
95-th percentile0.3536144644
Maximum0.3668211699
Range0.2017907202
Interquartile range (IQR)0.07940676063

Descriptive statistics

Standard deviation0.05457351726
Coefficient of variation (CV)0.2003957199
Kurtosis-0.9195630044
Mean0.2723287567
Median Absolute Deviation (MAD)0.04409655929
Skewness-0.1464412913
Sum10.34849276
Variance0.002978268786
MonotonicityNot monotonic
2024-03-27T11:53:19.976932image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.232183218 1
 
0.7%
0.2548268735 1
 
0.7%
0.3557502031 1
 
0.7%
0.3113202453 1
 
0.7%
0.2891054749 1
 
0.7%
0.1725635827 1
 
0.7%
0.3668211699 1
 
0.7%
0.262240231 1
 
0.7%
0.2057405263 1
 
0.7%
0.2235329747 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.1650304496 1
0.7%
0.1725635827 1
0.7%
0.1942014098 1
0.7%
0.1953037828 1
0.7%
0.1970129311 1
0.7%
ValueCountFrequency (%)
0.3668211699 1
0.7%
0.3557502031 1
0.7%
0.3532375693 1
0.7%
0.344705224 1
0.7%
0.3415046036 1
0.7%

dem_soc_ed_lesshs_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.08814938474
Minimum0.044858329
Maximum0.1664740443
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:20.168344image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.044858329
5-th percentile0.05711425822
Q10.06899076886
median0.08170232177
Q30.0968670845
95-th percentile0.1435201496
Maximum0.1664740443
Range0.1216157153
Interquartile range (IQR)0.02787631564

Descriptive statistics

Standard deviation0.02735605803
Coefficient of variation (CV)0.3103374812
Kurtosis1.801867096
Mean0.08814938474
Median Absolute Deviation (MAD)0.01350336149
Skewness1.29019876
Sum3.34967662
Variance0.0007483539111
MonotonicityNot monotonic
2024-03-27T11:53:20.358768image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.1399715692 1
 
0.7%
0.06816218048 1
 
0.7%
0.09151241183 1
 
0.7%
0.1029223874 1
 
0.7%
0.07730574906 1
 
0.7%
0.06845509261 1
 
0.7%
0.0902056545 1
 
0.7%
0.07900032401 1
 
0.7%
0.0574706383 1
 
0.7%
0.1636287719 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.044858329 1
0.7%
0.05509477109 1
0.7%
0.0574706383 1
0.7%
0.06020905077 1
0.7%
0.06494504958 1
0.7%
ValueCountFrequency (%)
0.1664740443 1
0.7%
0.1636287719 1
0.7%
0.1399715692 1
0.7%
0.1250326037 1
0.7%
0.1234086528 1
0.7%

dem_soc_ed_somecoll_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.3319896585
Minimum0.2561978102
Maximum0.3945637941
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:20.541567image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.2561978102
5-th percentile0.2634460136
Q10.2986062914
median0.3375597447
Q30.3633307964
95-th percentile0.3868451566
Maximum0.3945637941
Range0.138365984
Interquartile range (IQR)0.06472450495

Descriptive statistics

Standard deviation0.04164731802
Coefficient of variation (CV)0.1254476366
Kurtosis-0.9809485967
Mean0.3319896585
Median Absolute Deviation (MAD)0.02588938177
Skewness-0.4373881147
Sum12.61560702
Variance0.001734499098
MonotonicityNot monotonic
2024-03-27T11:53:20.732821image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.2634528577 1
 
0.7%
0.3384314775 1
 
0.7%
0.322596103 1
 
0.7%
0.3867551684 1
 
0.7%
0.3576917052 1
 
0.7%
0.2684860528 1
 
0.7%
0.3618358672 1
 
0.7%
0.328630805 1
 
0.7%
0.2866892219 1
 
0.7%
0.27711007 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.2561978102 1
0.7%
0.2634072304 1
0.7%
0.2634528577 1
0.7%
0.2638585865 1
0.7%
0.2669413984 1
0.7%
ValueCountFrequency (%)
0.3945637941 1
0.7%
0.3873550892 1
0.7%
0.3867551684 1
0.7%
0.3829223514 1
0.7%
0.3808813393 1
0.7%

dem_soc_vet_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.1017260447
Minimum0.05076903477
Maximum0.1657325476
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:20.919073image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.05076903477
5-th percentile0.06416083314
Q10.08222799003
median0.1032284908
Q30.1178683098
95-th percentile0.1388161071
Maximum0.1657325476
Range0.1149635129
Interquartile range (IQR)0.03564031981

Descriptive statistics

Standard deviation0.02610892251
Coefficient of variation (CV)0.2566591732
Kurtosis-0.263500418
Mean0.1017260447
Median Absolute Deviation (MAD)0.02014010027
Skewness0.1576139879
Sum3.865589697
Variance0.0006816758348
MonotonicityNot monotonic
2024-03-27T11:53:21.113776image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.06686408073 1
 
0.7%
0.09161097556 1
 
0.7%
0.130051434 1
 
0.7%
0.1314631552 1
 
0.7%
0.1167002246 1
 
0.7%
0.07422929257 1
 
0.7%
0.1320131719 1
 
0.7%
0.08393088728 1
 
0.7%
0.09680684656 1
 
0.7%
0.07841178775 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.05076903477 1
0.7%
0.0580811277 1
0.7%
0.06523372233 1
0.7%
0.06686408073 1
0.7%
0.0691056177 1
0.7%
ValueCountFrequency (%)
0.1657325476 1
0.7%
0.1488786638 1
0.7%
0.1370403618 1
0.7%
0.1320131719 1
0.7%
0.1314631552 1
0.7%

dem_soc_singparent_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.2413933705
Minimum0.134151265
Maximum0.3961399496
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:21.303181image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.134151265
5-th percentile0.1459277734
Q10.1896297671
median0.2408633083
Q30.2948409542
95-th percentile0.3449943766
Maximum0.3961399496
Range0.2619886845
Interquartile range (IQR)0.1052111872

Descriptive statistics

Standard deviation0.06390717392
Coefficient of variation (CV)0.2647428709
Kurtosis-0.4066156489
Mean0.2413933705
Median Absolute Deviation (MAD)0.05149334669
Skewness0.285958846
Sum9.172948077
Variance0.004084126879
MonotonicityNot monotonic
2024-03-27T11:53:21.490941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.3088319302 1
 
0.7%
0.1411946714 1
 
0.7%
0.2358794659 1
 
0.7%
0.2451046705 1
 
0.7%
0.256916821 1
 
0.7%
0.1537749767 1
 
0.7%
0.1905808598 1
 
0.7%
0.1648882031 1
 
0.7%
0.2749483287 1
 
0.7%
0.1897093505 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.134151265 1
0.7%
0.1411946714 1
0.7%
0.1467630267 1
0.7%
0.1537749767 1
0.7%
0.1642944217 1
0.7%
ValueCountFrequency (%)
0.3961399496 1
0.7%
0.357262373 1
0.7%
0.3428294361 1
0.7%
0.317894727 1
0.7%
0.3109554946 1
0.7%

dem_health_ins_acs5yr
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.9206637521
Minimum0.8741765022
Maximum0.9402677417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:21.650694image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.8741765022
5-th percentile0.8865083873
Q10.9165663123
median0.925881207
Q30.9316875935
95-th percentile0.9352261007
Maximum0.9402677417
Range0.06609123945
Interquartile range (IQR)0.01512128115

Descriptive statistics

Standard deviation0.01650603769
Coefficient of variation (CV)0.01792841052
Kurtosis2.848834066
Mean0.9206637521
Median Absolute Deviation (MAD)0.007683455944
Skewness-1.665509591
Sum17.49261129
Variance0.0002724492803
MonotonicityNot monotonic
2024-03-27T11:53:21.814646image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.9265537858 1
 
0.7%
0.925881207 1
 
0.7%
0.9319924712 1
 
0.7%
0.9346659184 1
 
0.7%
0.9175049067 1
 
0.7%
0.8878785968 1
 
0.7%
0.9335646629 1
 
0.7%
0.9084239602 1
 
0.7%
0.924800992 1
 
0.7%
0.9402677417 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.8741765022 1
0.7%
0.8878785968 1
0.7%
0.9084239602 1
0.7%
0.9095150232 1
0.7%
0.9165053368 1
0.7%
ValueCountFrequency (%)
0.9402677417 1
0.7%
0.9346659184 1
0.7%
0.9335646629 1
0.7%
0.9329000115 1
0.7%
0.9319924712 1
0.7%

econ_labor_topskilled_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.9672937487
Minimum0.9521002173
Maximum0.9795176983
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:21.984074image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.9521002173
5-th percentile0.955913651
Q10.9629958272
median0.9675606191
Q30.9725407809
95-th percentile0.977805236
Maximum0.9795176983
Range0.02741748095
Interquartile range (IQR)0.009544953704

Descriptive statistics

Standard deviation0.007088554465
Coefficient of variation (CV)0.007328233512
Kurtosis-0.6163380633
Mean0.9672937487
Median Absolute Deviation (MAD)0.004841953516
Skewness-0.2489058477
Sum36.75716245
Variance5.024760441 × 10-5
MonotonicityNot monotonic
2024-03-27T11:53:22.159898image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.9521002173 1
 
0.7%
0.9604030848 1
 
0.7%
0.9696515203 1
 
0.7%
0.9701238871 1
 
0.7%
0.9726039767 1
 
0.7%
0.9567669034 1
 
0.7%
0.977599144 1
 
0.7%
0.9628611207 1
 
0.7%
0.9744303226 1
 
0.7%
0.963804245 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.9521002173 1
0.7%
0.9544764161 1
0.7%
0.9561672807 1
0.7%
0.9567182064 1
0.7%
0.9567669034 1
0.7%
ValueCountFrequency (%)
0.9795176983 1
0.7%
0.9789730906 1
0.7%
0.977599144 1
0.7%
0.9775691032 1
0.7%
0.9758931994 1
0.7%

econ_labor_midskilled_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.9243653558
Minimum0.8860880733
Maximum0.9495252371
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:22.338994image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.8860880733
5-th percentile0.8964188904
Q10.9165929407
median0.9280431271
Q30.9333132505
95-th percentile0.9429287136
Maximum0.9495252371
Range0.06343716383
Interquartile range (IQR)0.01672030985

Descriptive statistics

Standard deviation0.01381361212
Coefficient of variation (CV)0.01494388775
Kurtosis0.7121240539
Mean0.9243653558
Median Absolute Deviation (MAD)0.008738338947
Skewness-0.8172083887
Sum35.12588352
Variance0.0001908158797
MonotonicityNot monotonic
2024-03-27T11:53:22.520907image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.8860880733 1
 
0.7%
0.9141330123 1
 
0.7%
0.9429240823 1
 
0.7%
0.9307019114 1
 
0.7%
0.9310934544 1
 
0.7%
0.9196069837 1
 
0.7%
0.9308629632 1
 
0.7%
0.9149060845 1
 
0.7%
0.9242699742 1
 
0.7%
0.9127014875 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.8860880733 1
0.7%
0.8947058916 1
0.7%
0.8967211843 1
0.7%
0.9061821699 1
0.7%
0.9099872112 1
0.7%
ValueCountFrequency (%)
0.9495252371 1
0.7%
0.9429549575 1
0.7%
0.9429240823 1
0.7%
0.9381417632 1
0.7%
0.9380655289 1
0.7%

econ_labor_unskilled_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.8488627625
Minimum0.7416413426
Maximum0.9174062014
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:22.707303image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.7416413426
5-th percentile0.7764455169
Q10.8266941309
median0.8485313654
Q30.8795579672
95-th percentile0.9117753267
Maximum0.9174062014
Range0.1757648587
Interquartile range (IQR)0.05286383629

Descriptive statistics

Standard deviation0.04120416801
Coefficient of variation (CV)0.04854043531
Kurtosis0.0115823611
Mean0.8488627625
Median Absolute Deviation (MAD)0.0294560492
Skewness-0.3566603357
Sum32.25678498
Variance0.001697783461
MonotonicityNot monotonic
2024-03-27T11:53:22.898710image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.8511682153 1
 
0.7%
0.878356874 1
 
0.7%
0.8710917234 1
 
0.7%
0.8262634873 1
 
0.7%
0.8128673434 1
 
0.7%
0.8830129504 1
 
0.7%
0.8476704955 1
 
0.7%
0.8926523328 1
 
0.7%
0.9093107581 1
 
0.7%
0.8799583316 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.7416413426 1
0.7%
0.7728919983 1
0.7%
0.7770726085 1
0.7%
0.8018912673 1
0.7%
0.8019756675 1
0.7%
ValueCountFrequency (%)
0.9174062014 1
0.7%
0.9124128819 1
0.7%
0.911662817 1
0.7%
0.9093107581 1
0.7%
0.9040498137 1
0.7%

econ_labor_incineq_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.4428241106
Minimum0.3805959388
Maximum0.5048
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:23.091330image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.3805959388
5-th percentile0.39917
Q10.4278463337
median0.43825
Q30.45645
95-th percentile0.49252
Maximum0.5048
Range0.1242040612
Interquartile range (IQR)0.02860366629

Descriptive statistics

Standard deviation0.0283019258
Coefficient of variation (CV)0.06391234155
Kurtosis0.2314897234
Mean0.4428241106
Median Absolute Deviation (MAD)0.01236645143
Skewness0.3025464533
Sum16.8273162
Variance0.0008009990042
MonotonicityNot monotonic
2024-03-27T11:53:23.440949image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.4908 1
 
0.7%
0.3922 1
 
0.7%
0.4317130092 1
 
0.7%
0.4343966818 1
 
0.7%
0.435337661 1
 
0.7%
0.4454 1
 
0.7%
0.4256670971 1
 
0.7%
0.3805959388 1
 
0.7%
0.4912 1
 
0.7%
0.423 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.3805959388 1
0.7%
0.3922 1
0.7%
0.4004 1
0.7%
0.4013672598 1
0.7%
0.4198192164 1
0.7%
ValueCountFrequency (%)
0.5048 1
0.7%
0.5 1
0.7%
0.4912 1
0.7%
0.4908 1
0.7%
0.4844 1
0.7%

econ_labor_medinc_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean57520.34735
Minimum42920.04741
Maximum81521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:23.622339image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum42920.04741
5-th percentile44238.55841
Q148743.46963
median53325.5
Q366347.5
95-th percentile79843.5
Maximum81521
Range38600.95259
Interquartile range (IQR)17604.03037

Descriptive statistics

Standard deviation12560.16656
Coefficient of variation (CV)0.2183604088
Kurtosis-0.7249533857
Mean57520.34735
Median Absolute Deviation (MAD)5081.13281
Skewness0.8960542675
Sum2185773.199
Variance157757784.1
MonotonicityNot monotonic
2024-03-27T11:53:23.815714image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
54598 1
 
0.7%
76909 1
 
0.7%
42920.04741 1
 
0.7%
42972.38938 1
 
0.7%
52825.4577 1
 
0.7%
77598 1
 
0.7%
45174.31939 1
 
0.7%
76605.88834 1
 
0.7%
44462 1
 
0.7%
69496 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
42920.04741 1
0.7%
42972.38938 1
0.7%
44462 1
0.7%
45174.31939 1
0.7%
45987 1
0.7%
ValueCountFrequency (%)
81521 1
0.7%
79886 1
0.7%
79836 1
0.7%
79666 1
0.7%
78091.19406 1
0.7%

econ_labor_pov_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.1349516465
Minimum0.06221088395
Maximum0.2175342143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:24.008758image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.06221088395
5-th percentile0.06875803769
Q10.1118870862
median0.1418355629
Q30.1584410816
95-th percentile0.191660098
Maximum0.2175342143
Range0.1553233303
Interquartile range (IQR)0.04655399546

Descriptive statistics

Standard deviation0.04000885248
Coefficient of variation (CV)0.2964680574
Kurtosis-0.361460559
Mean0.1349516465
Median Absolute Deviation (MAD)0.02136847004
Skewness-0.179248307
Sum5.128162567
Variance0.001600708277
MonotonicityNot monotonic
2024-03-27T11:53:24.202556image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.1575287133 1
 
0.7%
0.06912415475 1
 
0.7%
0.149963215 1
 
0.7%
0.1610039771 1
 
0.7%
0.1207419112 1
 
0.7%
0.06221088395 1
 
0.7%
0.1394829005 1
 
0.7%
0.06668337435 1
 
0.7%
0.2175342143 1
 
0.7%
0.1006653756 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.06221088395 1
0.7%
0.06668337435 1
0.7%
0.06912415475 1
0.7%
0.07047466934 1
0.7%
0.07492623478 1
0.7%
ValueCountFrequency (%)
0.2175342143 1
0.7%
0.2161771804 1
0.7%
0.187333554 1
0.7%
0.1822830737 1
0.7%
0.1761621386 1
0.7%

dem_soc_singadult_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.275839375
Minimum0.1885474175
Maximum0.3427065611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:24.393633image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1885474175
5-th percentile0.1998702638
Q10.2518703714
median0.2835119069
Q30.3052669168
95-th percentile0.3314631566
Maximum0.3427065611
Range0.1541591436
Interquartile range (IQR)0.05339654535

Descriptive statistics

Standard deviation0.04348239023
Coefficient of variation (CV)0.1576366326
Kurtosis-0.6554228781
Mean0.275839375
Median Absolute Deviation (MAD)0.02605269849
Skewness-0.5923937294
Sum10.48189625
Variance0.00189071826
MonotonicityNot monotonic
2024-03-27T11:53:24.582089image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.31855914 1
 
0.7%
0.197349593 1
 
0.7%
0.2949968874 1
 
0.7%
0.2920984328 1
 
0.7%
0.2883915603 1
 
0.7%
0.2440094054 1
 
0.7%
0.2840815187 1
 
0.7%
0.1885474175 1
 
0.7%
0.3301901221 1
 
0.7%
0.2040193975 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.1885474175 1
0.7%
0.197349593 1
0.7%
0.200315088 1
0.7%
0.2040193975 1
0.7%
0.2053056508 1
0.7%
ValueCountFrequency (%)
0.3427065611 1
0.7%
0.3333258927 1
0.7%
0.3311344385 1
0.7%
0.3301901221 1
0.7%
0.3255858719 1
0.7%

econ_sn_cashasst_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.01967935747
Minimum0.0115975989
Maximum0.03262579069
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:24.768352image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.0115975989
5-th percentile0.01344612106
Q10.01606936846
median0.01903179195
Q30.02159277955
95-th percentile0.03071007403
Maximum0.03262579069
Range0.02102819178
Interquartile range (IQR)0.005523411091

Descriptive statistics

Standard deviation0.005297987068
Coefficient of variation (CV)0.2692154496
Kurtosis0.320219624
Mean0.01967935747
Median Absolute Deviation (MAD)0.002899453044
Skewness0.9065749405
Sum0.7478155838
Variance2.806866697 × 10-5
MonotonicityNot monotonic
2024-03-27T11:53:24.945478image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.02902410738 1
 
0.7%
0.01400872972 1
 
0.7%
0.0162401665 1
 
0.7%
0.020235762 1
 
0.7%
0.01887941547 1
 
0.7%
0.01256662421 1
 
0.7%
0.01402268093 1
 
0.7%
0.0141196195 1
 
0.7%
0.01671736315 1
 
0.7%
0.01876386255 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.0115975989 1
0.7%
0.01256662421 1
0.7%
0.01360132638 1
0.7%
0.01400872972 1
0.7%
0.01402268093 1
0.7%
ValueCountFrequency (%)
0.03262579069 1
0.7%
0.03155401349 1
0.7%
0.03056114353 1
0.7%
0.02902410738 1
0.7%
0.0274632182 1
0.7%

hou_mkt_homeval_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean160224.8732
Minimum88761.48849
Maximum309800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:25.126701image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88761.48849
5-th percentile90398.14727
Q1115516.1405
median129796.1158
Q3213975
95-th percentile281290
Maximum309800
Range221038.5115
Interquartile range (IQR)98458.8595

Descriptive statistics

Standard deviation64726.61256
Coefficient of variation (CV)0.4039735609
Kurtosis-0.6611858159
Mean160224.8732
Median Absolute Deviation (MAD)34585.05482
Skewness0.7916438808
Sum6088545.18
Variance4189534374
MonotonicityNot monotonic
2024-03-27T11:53:25.320322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
256900 1
 
0.7%
243500 1
 
0.7%
88761.48849 1
 
0.7%
90652.61901 1
 
0.7%
123434.1034 1
 
0.7%
309800 1
 
0.7%
88956.14073 1
 
0.7%
234065.7412 1
 
0.7%
147800 1
 
0.7%
241600 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
88761.48849 1
0.7%
88956.14073 1
0.7%
90652.61901 1
0.7%
92300 1
0.7%
94722.122 1
0.7%
ValueCountFrequency (%)
309800 1
0.7%
283500 1
0.7%
280900 1
0.7%
256900 1
0.7%
246700 1
0.7%

hou_mkt_homeage_acs5yr
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)86.8%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean1971.032641
Minimum1957
Maximum1991.061646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:25.489783image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1957
5-th percentile1958.178882
Q11963.990204
median1970.589783
Q31977
95-th percentile1987.565118
Maximum1991.061646
Range34.06164551
Interquartile range (IQR)13.00979614

Descriptive statistics

Standard deviation9.086845358
Coefficient of variation (CV)0.00461019527
Kurtosis-0.3762066897
Mean1971.032641
Median Absolute Deviation (MAD)6.410217285
Skewness0.4863810558
Sum74899.24036
Variance82.57075856
MonotonicityNot monotonic
2024-03-27T11:53:25.676103image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1977 3
 
2.0%
1971 2
 
1.3%
1975 2
 
1.3%
1980 2
 
1.3%
1957 1
 
0.7%
1963.310547 1
 
0.7%
1969.454346 1
 
0.7%
1986 1
 
0.7%
1959.15564 1
 
0.7%
1978 1
 
0.7%
Other values (23) 23
 
15.1%
(Missing) 114
75.0%
ValueCountFrequency (%)
1957 1
0.7%
1958 1
0.7%
1958.210449 1
0.7%
1959.15564 1
0.7%
1960.370972 1
0.7%
ValueCountFrequency (%)
1991.061646 1
0.7%
1990.767456 1
0.7%
1987 1
0.7%
1986 1
0.7%
1981 1
0.7%

hou_mkt_homeage1940_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.1816326107
Minimum0.05659364164
Maximum0.3159661591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:25.863281image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.05659364164
5-th percentile0.07368171625
Q10.1387279294
median0.1728574708
Q30.2294275053
95-th percentile0.3122283876
Maximum0.3159661591
Range0.2593725175
Interquartile range (IQR)0.09069957584

Descriptive statistics

Standard deviation0.07555352486
Coefficient of variation (CV)0.4159689417
Kurtosis-0.7317153101
Mean0.1816326107
Median Absolute Deviation (MAD)0.04467231035
Skewness0.2364674484
Sum6.902039208
Variance0.005708335119
MonotonicityNot monotonic
2024-03-27T11:53:26.058000image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.3119092584 1
 
0.7%
0.0906990394 1
 
0.7%
0.3140367866 1
 
0.7%
0.1998640895 1
 
0.7%
0.2091830224 1
 
0.7%
0.06109917909 1
 
0.7%
0.2607308328 1
 
0.7%
0.07728786021 1
 
0.7%
0.1395263225 1
 
0.7%
0.1613511741 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.05659364164 1
0.7%
0.06109917909 1
0.7%
0.07590216398 1
0.7%
0.07728786021 1
0.7%
0.08647956699 1
0.7%
ValueCountFrequency (%)
0.3159661591 1
0.7%
0.3140367866 1
0.7%
0.3119092584 1
0.7%
0.3036918342 1
0.7%
0.2995318174 1
0.7%

hou_mkt_medrent_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean653.7891292
Minimum397.6101074
Maximum1073
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:26.237641image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum397.6101074
5-th percentile406.3166321
Q1512.1607208
median598
Q3824.25
95-th percentile945.15
Maximum1073
Range675.3898926
Interquartile range (IQR)312.0892792

Descriptive statistics

Standard deviation189.1246454
Coefficient of variation (CV)0.2892746866
Kurtosis-0.9822804114
Mean653.7891292
Median Absolute Deviation (MAD)139.8879395
Skewness0.5089474301
Sum24843.98691
Variance35768.13152
MonotonicityNot monotonic
2024-03-27T11:53:26.430984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
810 1
 
0.7%
888 1
 
0.7%
406.6448669 1
 
0.7%
404.4566345 1
 
0.7%
512.6428833 1
 
0.7%
945 1
 
0.7%
397.6101074 1
 
0.7%
802.9385376 1
 
0.7%
627 1
 
0.7%
829 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
397.6101074 1
0.7%
404.4566345 1
0.7%
406.6448669 1
0.7%
438.6217346 1
0.7%
450.2142029 1
0.7%
ValueCountFrequency (%)
1073 1
0.7%
946 1
0.7%
945 1
0.7%
941 1
0.7%
911.5393066 1
0.7%

hou_mkt_medrentgross_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean804.9192858
Minimum572.2979126
Maximum1178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:26.613650image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum572.2979126
5-th percentile579.6716339
Q1657.1382904
median756.5
Q3955.7841034
95-th percentile1089.8
Maximum1178
Range605.7020874
Interquartile range (IQR)298.645813

Descriptive statistics

Standard deviation176.8812399
Coefficient of variation (CV)0.2197502818
Kurtosis-1.002268105
Mean804.9192858
Median Absolute Deviation (MAD)129.4299622
Skewness0.5010675049
Sum30586.93286
Variance31286.97301
MonotonicityNot monotonic
2024-03-27T11:53:26.804795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
932 1
 
0.7%
1031 1
 
0.7%
572.2979126 1
 
0.7%
579.1054688 1
 
0.7%
665.9507446 1
 
0.7%
1047 1
 
0.7%
579.7715454 1
 
0.7%
957.0454712 1
 
0.7%
766 1
 
0.7%
952 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
572.2979126 1
0.7%
579.1054688 1
0.7%
579.7715454 1
0.7%
594.3582153 1
0.7%
605.4608765 1
0.7%
ValueCountFrequency (%)
1178 1
0.7%
1100 1
0.7%
1088 1
0.7%
1083.700928 1
0.7%
1047 1
0.7%

hou_mkt_ovrcrowd_acs5yr
Numeric time series

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.0189133223
Minimum0.01045657601
Maximum0.0399325341
Zeros0
Zeros (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:26.983175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.01045657601
5-th percentile0.01130539174
Q10.0134879339
median0.01479740208
Q30.02296910109
95-th percentile0.0374079572
Maximum0.0399325341
Range0.02947595809
Interquartile range (IQR)0.009481167188

Descriptive statistics

Standard deviation0.008465170222
Coefficient of variation (CV)0.4475771146
Kurtosis0.6100064405
Mean0.0189133223
Median Absolute Deviation (MAD)0.002941423096
Skewness1.309336023
Sum0.7187062474
Variance7.165910689 × 10-5
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.473623432 × 10-10
2024-03-27T11:53:27.168014image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
2024-03-27T11:53:27.635986image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:53:27.734267image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
0.03833373636 1
 
0.7%
0.01541144866 1
 
0.7%
0.01170009468 1
 
0.7%
0.01366764586 1
 
0.7%
0.0113800643 1
 
0.7%
0.02002377436 1
 
0.7%
0.01237950567 1
 
0.7%
0.01742524281 1
 
0.7%
0.01343472674 1
 
0.7%
0.03724458441 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.01045657601 1
0.7%
0.01088224724 1
0.7%
0.0113800643 1
0.7%
0.0115551725 1
0.7%
0.01170009468 1
0.7%
ValueCountFrequency (%)
0.0399325341 1
0.7%
0.03833373636 1
0.7%
0.03724458441 1
0.7%
0.03627627715 1
0.7%
0.03301757947 1
0.7%
2024-03-27T11:53:27.293094image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

hou_mkt_rentshare_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.290067232
Minimum0.1580192447
Maximum0.4542205334
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:27.916826image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1580192447
5-th percentile0.187878149
Q10.2559664249
median0.2763141692
Q30.3086355552
95-th percentile0.4361212805
Maximum0.4542205334
Range0.2962012887
Interquartile range (IQR)0.05266913027

Descriptive statistics

Standard deviation0.07136879127
Coefficient of variation (CV)0.2460422392
Kurtosis0.5549736824
Mean0.290067232
Median Absolute Deviation (MAD)0.03053672612
Skewness0.7322750232
Sum11.02255481
Variance0.005093504367
MonotonicityNot monotonic
2024-03-27T11:53:28.099580image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.4021762908 1
 
0.7%
0.1615802795 1
 
0.7%
0.2737721503 1
 
0.7%
0.2564954162 1
 
0.7%
0.264531672 1
 
0.7%
0.2414978594 1
 
0.7%
0.2392509431 1
 
0.7%
0.1580192447 1
 
0.7%
0.4542205334 1
 
0.7%
0.2342503965 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.1580192447 1
0.7%
0.1615802795 1
0.7%
0.1925189495 1
0.7%
0.2105822414 1
0.7%
0.2238411009 1
0.7%
ValueCountFrequency (%)
0.4542205334 1
0.7%
0.4497650564 1
0.7%
0.4337135553 1
0.7%
0.4254823923 1
0.7%
0.4021762908 1
0.7%

hou_mkt_rentvacancy_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.06315952383
Minimum0.03939752653
Maximum0.08690939844
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:28.282175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.03939752653
5-th percentile0.04311262835
Q10.05112025794
median0.06501469389
Q30.07253052481
95-th percentile0.0815578267
Maximum0.08690939844
Range0.0475118719
Interquartile range (IQR)0.02141026687

Descriptive statistics

Standard deviation0.01334715111
Coefficient of variation (CV)0.2113244416
Kurtosis-1.080075918
Mean0.06315952383
Median Absolute Deviation (MAD)0.009061321616
Skewness-0.1936597892
Sum2.400061905
Variance0.0001781464427
MonotonicityNot monotonic
2024-03-27T11:53:28.467372image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.07918854058 1
 
0.7%
0.07026713341 1
 
0.7%
0.04394266009 1
 
0.7%
0.07033576071 1
 
0.7%
0.07857138664 1
 
0.7%
0.07473197579 1
 
0.7%
0.05778486282 1
 
0.7%
0.07425803691 1
 
0.7%
0.0692775622 1
 
0.7%
0.06327152997 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.03939752653 1
0.7%
0.04144700989 1
0.7%
0.04340656102 1
0.7%
0.04374161735 1
0.7%
0.04394266009 1
0.7%
ValueCountFrequency (%)
0.08690939844 1
0.7%
0.08182360977 1
0.7%
0.0815109238 1
0.7%
0.07984867692 1
0.7%
0.07984113693 1
0.7%

hou_mkt_utility_acs5yr
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)97.4%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean151.1301587
Minimum102
Maximum221
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:28.813052image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum102
5-th percentile114.35
Q1135.0883598
median149.0374146
Q3165.2397614
95-th percentile200.95
Maximum221
Range119
Interquartile range (IQR)30.15140152

Descriptive statistics

Standard deviation26.24951423
Coefficient of variation (CV)0.1736881273
Kurtosis0.735051441
Mean151.1301587
Median Absolute Deviation (MAD)15.53741455
Skewness0.602544276
Sum5742.94603
Variance689.0369974
MonotonicityNot monotonic
2024-03-27T11:53:29.008896image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
122 2
 
1.3%
143 1
 
0.7%
165.6530151 1
 
0.7%
174.6488342 1
 
0.7%
153.3078613 1
 
0.7%
102 1
 
0.7%
182.1614227 1
 
0.7%
154.1069183 1
 
0.7%
139 1
 
0.7%
123 1
 
0.7%
Other values (27) 27
 
17.8%
(Missing) 114
75.0%
ValueCountFrequency (%)
102 1
0.7%
105 1
0.7%
116 1
0.7%
122 2
1.3%
123 1
0.7%
ValueCountFrequency (%)
221 1
0.7%
212 1
0.7%
199 1
0.7%
182.1614227 1
0.7%
174.6488342 1
0.7%

hou_mkt_burden_own_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.1538319498
Minimum0.08993533999
Maximum0.2469712198
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:29.193608image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.08993533999
5-th percentile0.1021490723
Q10.1165859327
median0.1374643892
Q30.1826972477
95-th percentile0.239043469
Maximum0.2469712198
Range0.1570358798
Interquartile range (IQR)0.06611131504

Descriptive statistics

Standard deviation0.04590737781
Coefficient of variation (CV)0.2984255084
Kurtosis-0.6975321568
Mean0.1538319498
Median Absolute Deviation (MAD)0.030682493
Skewness0.6763404036
Sum5.845614091
Variance0.002107487338
MonotonicityNot monotonic
2024-03-27T11:53:29.392206image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.2240766734 1
 
0.7%
0.2469712198 1
 
0.7%
0.1155278459 1
 
0.7%
0.1280387193 1
 
0.7%
0.1259835362 1
 
0.7%
0.2182521671 1
 
0.7%
0.1243203282 1
 
0.7%
0.2377290726 1
 
0.7%
0.1315377951 1
 
0.7%
0.2464917153 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.08993533999 1
0.7%
0.09586887062 1
0.7%
0.1032573432 1
0.7%
0.1046076939 1
0.7%
0.1053879708 1
0.7%
ValueCountFrequency (%)
0.2469712198 1
0.7%
0.2464917153 1
0.7%
0.2377290726 1
0.7%
0.2300550193 1
0.7%
0.2240766734 1
0.7%

hou_mkt_burden_sev_own_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.09111024214
Minimum0.05239401385
Maximum0.1734639704
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:29.590522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.05239401385
5-th percentile0.05929150078
Q10.06661606953
median0.07805046067
Q30.1109634973
95-th percentile0.1423668921
Maximum0.1734639704
Range0.1210699566
Interquartile range (IQR)0.04434742779

Descriptive statistics

Standard deviation0.03130779718
Coefficient of variation (CV)0.3436254415
Kurtosis-0.2509992984
Mean0.09111024214
Median Absolute Deviation (MAD)0.01633680426
Skewness0.8738866447
Sum3.462189201
Variance0.0009801781641
MonotonicityNot monotonic
2024-03-27T11:53:29.790897image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.1734639704 1
 
0.7%
0.140081659 1
 
0.7%
0.06661811471 1
 
0.7%
0.07007855177 1
 
0.7%
0.06328129023 1
 
0.7%
0.1310973763 1
 
0.7%
0.06777650863 1
 
0.7%
0.1314695328 1
 
0.7%
0.074894391 1
 
0.7%
0.1412432045 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.05239401385 1
0.7%
0.05816785991 1
0.7%
0.05948979035 1
0.7%
0.06014602259 1
0.7%
0.06328129023 1
0.7%
ValueCountFrequency (%)
0.1734639704 1
0.7%
0.1465030462 1
0.7%
0.1416369826 1
0.7%
0.1412432045 1
0.7%
0.140081659 1
0.7%

hou_mkt_burden_rent_acs5yr
Numeric time series

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.2405913602
Minimum0.2011790723
Maximum0.2775062323
Zeros0
Zeros (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:30.008587image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.2011790723
5-th percentile0.2129338205
Q10.2222491875
median0.2413754836
Q30.2566320375
95-th percentile0.2745437011
Maximum0.2775062323
Range0.07632716
Interquartile range (IQR)0.03438284993

Descriptive statistics

Standard deviation0.02053731155
Coefficient of variation (CV)0.08536179995
Kurtosis-0.9879759518
Mean0.2405913602
Median Absolute Deviation (MAD)0.01732970774
Skewness0.07359033188
Sum9.142471686
Variance0.0004217811659
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value8.052125643 × 10-11
2024-03-27T11:53:30.207799image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
2024-03-27T11:53:30.694589image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:53:30.795023image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
0.2415122092 1
 
0.7%
0.2773736119 1
 
0.7%
0.2129980326 1
 
0.7%
0.2300614119 1
 
0.7%
0.24164249 1
 
0.7%
0.2700941861 1
 
0.7%
0.2137475461 1
 
0.7%
0.2549311817 1
 
0.7%
0.2421030402 1
 
0.7%
0.2775062323 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.2011790723 1
0.7%
0.212569952 1
0.7%
0.2129980326 1
0.7%
0.2137475461 1
0.7%
0.2148115188 1
0.7%
ValueCountFrequency (%)
0.2775062323 1
0.7%
0.2773736119 1
0.7%
0.2740443051 1
0.7%
0.2700941861 1
0.7%
0.2650496364 1
0.7%
2024-03-27T11:53:30.339984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

hou_mkt_burden_sev_rent_acs5yr
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)100.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean0.2505542542
Minimum0.1988443136
Maximum0.3550159931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:30.976719image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1988443136
5-th percentile0.2042519696
Q10.2236606143
median0.2452711761
Q30.2700662687
95-th percentile0.3254056886
Maximum0.3550159931
Range0.1561716795
Interquartile range (IQR)0.0464056544

Descriptive statistics

Standard deviation0.03752031306
Coefficient of variation (CV)0.1497492556
Kurtosis0.8163296893
Mean0.2505542542
Median Absolute Deviation (MAD)0.02384521067
Skewness0.9718156236
Sum9.521061659
Variance0.001407773892
MonotonicityNot monotonic
2024-03-27T11:53:31.175448image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0.2876481116 1
 
0.7%
0.2595908642 1
 
0.7%
0.2371778041 1
 
0.7%
0.2193793803 1
 
0.7%
0.2181774527 1
 
0.7%
0.2084612548 1
 
0.7%
0.2192908973 1
 
0.7%
0.2565976977 1
 
0.7%
0.3550159931 1
 
0.7%
0.260187 1
 
0.7%
Other values (28) 28
 
18.4%
(Missing) 114
75.0%
ValueCountFrequency (%)
0.1988443136 1
0.7%
0.2021814734 1
0.7%
0.2046173513 1
0.7%
0.206571281 1
0.7%
0.2084612548 1
0.7%
ValueCountFrequency (%)
0.3550159931 1
0.7%
0.3400624394 1
0.7%
0.3228192031 1
0.7%
0.3010088801 1
0.7%
0.2879445553 1
0.7%

fhfa_hpi_flag
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01973684211
Minimum0
Maximum1
Zeros149
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:31.342053image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1395543872
Coefficient of variation (CV)7.070755617
Kurtosis47.26658439
Mean0.01973684211
Median Absolute Deviation (MAD)0
Skewness6.974580686
Sum3
Variance0.01947542698
MonotonicityNot monotonic
2024-03-27T11:53:31.493581image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
0 149
98.0%

fhfa_hpi_2009
Real number (ℝ)

ZEROS 

Distinct134
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-6.19669381
Minimum-24.02326125
Maximum8.306460591
Zeros19
Zeros (%)12.5%
Negative107
Negative (%)70.4%
Memory size2.4 KiB
2024-03-27T11:53:31.664943image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-24.02326125
5-th percentile-19.84129091
Q1-11.69721453
median-4.307565124
Q30
95-th percentile3.534467579
Maximum8.306460591
Range32.32972185
Interquartile range (IQR)11.69721453

Descriptive statistics

Standard deviation7.626570634
Coefficient of variation (CV)-1.230748342
Kurtosis-0.5789347968
Mean-6.19669381
Median Absolute Deviation (MAD)4.42174683
Skewness-0.5762664654
Sum-941.8974591
Variance58.16457964
MonotonicityNot monotonic
2024-03-27T11:53:31.861286image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 19
 
12.5%
-9.247878256 1
 
0.7%
-8.698541935 1
 
0.7%
-1.901407535 1
 
0.7%
-17.53374478 1
 
0.7%
-9.102699045 1
 
0.7%
4.708323517 1
 
0.7%
-12.6074164 1
 
0.7%
-3.565040644 1
 
0.7%
0.275563846 1
 
0.7%
Other values (124) 124
81.6%
ValueCountFrequency (%)
-24.02326125 1
0.7%
-23.70866804 1
0.7%
-23.60825705 1
0.7%
-22.65632833 1
0.7%
-21.58350323 1
0.7%
ValueCountFrequency (%)
8.306460591 1
0.7%
7.655775911 1
0.7%
6.259841785 1
0.7%
5.848467526 1
0.7%
4.881948376 1
0.7%

econ_labor_force_pop_BLS
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean345577.8882
Minimum50182
Maximum2671904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:32.080595image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum50182
5-th percentile54866.9
Q1116049.5
median194469
Q3328464.75
95-th percentile1461247.5
Maximum2671904
Range2621722
Interquartile range (IQR)212415.25

Descriptive statistics

Standard deviation558618.0539
Coefficient of variation (CV)1.616475108
Kurtosis12.8668119
Mean345577.8882
Median Absolute Deviation (MAD)85890.5
Skewness3.721093146
Sum52527839
Variance3.120541302 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:32.290419image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
188569 1
 
0.7%
195223 1
 
0.7%
269190 1
 
0.7%
134851 1
 
0.7%
126941 1
 
0.7%
517781 1
 
0.7%
106024 1
 
0.7%
371647 1
 
0.7%
124016 1
 
0.7%
205999 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
50182 1
0.7%
50527 1
0.7%
50797 1
0.7%
52457 1
0.7%
54313 1
0.7%
ValueCountFrequency (%)
2671904 1
0.7%
2669585 1
0.7%
2653342 1
0.7%
2653326 1
0.7%
2648861 1
0.7%

econ_labor_emp_pop_BLS
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316527.1711
Minimum46459
Maximum2507250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:32.491914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum46459
5-th percentile49901.1
Q1106519
median180547.5
Q3306619
95-th percentile1319808.4
Maximum2507250
Range2460791
Interquartile range (IQR)200100

Descriptive statistics

Standard deviation509296.013
Coefficient of variation (CV)1.609011989
Kurtosis12.8754783
Mean316527.1711
Median Absolute Deviation (MAD)78622.5
Skewness3.718228378
Sum48112130
Variance2.593824289 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:32.710557image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
176193 1
 
0.7%
183917 1
 
0.7%
254401 1
 
0.7%
126988 1
 
0.7%
119311 1
 
0.7%
493261 1
 
0.7%
100912 1
 
0.7%
352394 1
 
0.7%
110497 1
 
0.7%
185554 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
46459 1
0.7%
46506 1
0.7%
46888 1
0.7%
46989 1
0.7%
48534 1
0.7%
ValueCountFrequency (%)
2507250 1
0.7%
2484494 1
0.7%
2455149 1
0.7%
2414722 1
0.7%
2397792 1
0.7%

econ_labor_unemp_pop_BLS
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29050.71711
Minimum2913
Maximum287361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:32.907836image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2913
5-th percentile4923.45
Q18397.5
median16520.5
Q326107.25
95-th percentile100114.6
Maximum287361
Range284448
Interquartile range (IQR)17709.75

Descriptive statistics

Standard deviation50968.05556
Coefficient of variation (CV)1.754450858
Kurtosis15.93716016
Mean29050.71711
Median Absolute Deviation (MAD)8316
Skewness4.031898191
Sum4415709
Variance2597742687
MonotonicityNot monotonic
2024-03-27T11:53:33.111587image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12376 1
 
0.7%
11306 1
 
0.7%
14789 1
 
0.7%
7863 1
 
0.7%
7630 1
 
0.7%
24520 1
 
0.7%
5112 1
 
0.7%
19253 1
 
0.7%
13519 1
 
0.7%
20445 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
2913 1
0.7%
3052 1
0.7%
3294 1
0.7%
3538 1
0.7%
3595 1
0.7%
ValueCountFrequency (%)
287361 1
0.7%
275500 1
0.7%
274659 1
0.7%
257182 1
0.7%
255534 1
0.7%

econ_labor_unemp_rate_BLS
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.167524749
Minimum4.735592842
Maximum15.10327148
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:33.316253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.735592842
5-th percentile5.256132293
Q16.54293704
median8.205533981
Q39.694602966
95-th percentile10.95809679
Maximum15.10327148
Range10.36767864
Interquartile range (IQR)3.151665926

Descriptive statistics

Standard deviation1.952340192
Coefficient of variation (CV)0.2390369485
Kurtosis0.04731994552
Mean8.167524749
Median Absolute Deviation (MAD)1.619221687
Skewness0.3336416175
Sum1241.463762
Variance3.811632227
MonotonicityNot monotonic
2024-03-27T11:53:33.687967image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6.56311512 1
 
0.7%
5.791326046 1
 
0.7%
5.493888855 1
 
0.7%
5.830879688 1
 
0.7%
6.01066637 1
 
0.7%
4.735592842 1
 
0.7%
4.821549892 1
 
0.7%
5.1804533 1
 
0.7%
10.90101337 1
 
0.7%
9.924804688 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
4.735592842 1
0.7%
4.74731493 1
0.7%
4.821549892 1
0.7%
5.050937176 1
0.7%
5.1804533 1
0.7%
ValueCountFrequency (%)
15.10327148 1
0.7%
13.99987602 1
0.7%
11.8454504 1
0.7%
11.47307777 1
0.7%
11.34453011 1
0.7%

hou_mkt_area_census
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2922.051056
Minimum327.5
Maximum10875.42999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:33.853801image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum327.5
5-th percentile391.3935074
Q1603.1699829
median868.2999878
Q35929.399902
95-th percentile10137.66001
Maximum10875.42999
Range10547.92999
Interquartile range (IQR)5326.229919

Descriptive statistics

Standard deviation3571.059584
Coefficient of variation (CV)1.222107183
Kurtosis-0.2315916107
Mean2922.051056
Median Absolute Deviation (MAD)348.2399902
Skewness1.212606525
Sum444151.7605
Variance12752466.55
MonotonicityNot monotonic
2024-03-27T11:53:34.026015image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
794.0799866 8
 
5.3%
9145.540131 8
 
5.3%
7713.98999 8
 
5.3%
996.2700195 8
 
5.3%
715.5800171 8
 
5.3%
868.2999878 8
 
5.3%
520.0599976 8
 
5.3%
945.3300171 8
 
5.3%
657.7600098 8
 
5.3%
9534.030029 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
327.5 8
5.3%
443.6700134 8
5.3%
520.0599976 8
5.3%
580.6900024 8
5.3%
603.1699829 8
5.3%
ValueCountFrequency (%)
10875.42999 8
5.3%
9534.030029 8
5.3%
9145.540131 8
5.3%
7713.98999 8
5.3%
5929.399902 8
5.3%

dem_pop_density_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.606668274
Minimum0.3745218515
Maximum55.90424347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:34.209039image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.3745218515
5-th percentile0.403995961
Q10.7333134562
median2.289554358
Q35.364859939
95-th percentile40.42828951
Maximum55.90424347
Range55.52972162
Interquartile range (IQR)4.631546482

Descriptive statistics

Standard deviation13.13343626
Coefficient of variation (CV)1.72656882
Kurtosis7.020938025
Mean7.606668274
Median Absolute Deviation (MAD)1.760104001
Skewness2.750346159
Sum1156.213578
Variance172.4871481
MonotonicityNot monotonic
2024-03-27T11:53:34.401569image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.479250908 1
 
0.7%
0.4181746542 1
 
0.7%
10.24022198 1
 
0.7%
3.711646318 1
 
0.7%
4.000243187 1
 
0.7%
28.4321537 1
 
0.7%
2.275607586 1
 
0.7%
15.88872337 1
 
0.7%
3.984447002 1
 
0.7%
0.4233372509 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.3745218515 1
0.7%
0.3771696985 1
0.7%
0.3792677224 1
0.7%
0.3812375665 1
0.7%
0.3814466894 1
0.7%
ValueCountFrequency (%)
55.90424347 1
0.7%
55.5758934 1
0.7%
55.54143143 1
0.7%
55.49206161 1
0.7%
55.40048218 1
0.7%

hou_mkt_density_census
Real number (ℝ)

Distinct149
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.045219219
Minimum0.1732974648
Maximum23.16201591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:34.598905image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1732974648
5-th percentile0.1849037707
Q10.3332646266
median1.045001745
Q31.92949757
95-th percentile16.41524215
Maximum23.16201591
Range22.98871845
Interquartile range (IQR)1.596232943

Descriptive statistics

Standard deviation5.363743764
Coefficient of variation (CV)1.761365399
Kurtosis7.955337353
Mean3.045219219
Median Absolute Deviation (MAD)0.7918282747
Skewness2.9139108
Sum462.8733213
Variance28.76974717
MonotonicityNot monotonic
2024-03-27T11:53:34.791904image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8699133992 3
 
2.0%
0.6510906219 2
 
1.3%
1.653218389 1
 
0.7%
5.933193207 1
 
0.7%
1.815024614 1
 
0.7%
0.2493906021 1
 
0.7%
1.959232211 1
 
0.7%
0.3334379196 1
 
0.7%
0.9222700596 1
 
0.7%
0.6521518826 1
 
0.7%
Other values (139) 139
91.4%
ValueCountFrequency (%)
0.1732974648 1
0.7%
0.1735538095 1
0.7%
0.1735774279 1
0.7%
0.1737798154 1
0.7%
0.173793301 1
0.7%
ValueCountFrequency (%)
23.16201591 1
0.7%
23.12774467 1
0.7%
23.0879364 1
0.7%
23.05858231 1
0.7%
23.04912567 1
0.7%

dem_pop_mig_census
Real number (ℝ)

Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-2440.565789
Minimum-41321
Maximum1814
Zeros0
Zeros (%)0.0%
Negative131
Negative (%)86.2%
Memory size2.4 KiB
2024-03-27T11:53:34.983800image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-41321
5-th percentile-7833.7
Q1-2519.75
median-1253.5
Q3-486
95-th percentile520.2
Maximum1814
Range43135
Interquartile range (IQR)2033.75

Descriptive statistics

Standard deviation5363.753037
Coefficient of variation (CV)-2.197749825
Kurtosis31.5009796
Mean-2440.565789
Median Absolute Deviation (MAD)982
Skewness-5.244851786
Sum-370966
Variance28769846.64
MonotonicityNot monotonic
2024-03-27T11:53:35.183958image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-750 2
 
1.3%
-3057 1
 
0.7%
-252 1
 
0.7%
-2030 1
 
0.7%
-2025 1
 
0.7%
-2122 1
 
0.7%
-1181 1
 
0.7%
-2787 1
 
0.7%
-1256 1
 
0.7%
-3546 1
 
0.7%
Other values (141) 141
92.8%
ValueCountFrequency (%)
-41321 1
0.7%
-36948 1
0.7%
-27021 1
0.7%
-15850 1
0.7%
-15156 1
0.7%
ValueCountFrequency (%)
1814 1
0.7%
1698 1
0.7%
1512 1
0.7%
1367 1
0.7%
812 1
0.7%

hou_pol_hudunit_psh_hud
Real number (ℝ)

Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1195665.132
Minimum156200
Maximum13304300
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:35.374754image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum156200
5-th percentile166250
Q1345975
median522450
Q3855125
95-th percentile4384395
Maximum13304300
Range13148100
Interquartile range (IQR)509150

Descriptive statistics

Standard deviation2664298.174
Coefficient of variation (CV)2.22829796
Kurtosis15.13323591
Mean1195665.132
Median Absolute Deviation (MAD)206350
Skewness4.066019415
Sum181741100
Variance7.098484758 × 1012
MonotonicityNot monotonic
2024-03-27T11:53:35.604709image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
430900 2
 
1.3%
850100 1
 
0.7%
324500 1
 
0.7%
695900 1
 
0.7%
728700 1
 
0.7%
1162300 1
 
0.7%
830900 1
 
0.7%
1052400 1
 
0.7%
165700 1
 
0.7%
1174700 1
 
0.7%
Other values (141) 141
92.8%
ValueCountFrequency (%)
156200 1
0.7%
157700 1
0.7%
158100 1
0.7%
158500 1
0.7%
161200 1
0.7%
ValueCountFrequency (%)
13304300 1
0.7%
13011600 1
0.7%
12959900 1
0.7%
12957100 1
0.7%
12755500 1
0.7%
Distinct80
Distinct (%)52.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean91.5709492
Minimum80
Maximum99
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:35.808575image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum80
5-th percentile86.08971138
Q189.18168068
median91.78147125
Q394
95-th percentile98
Maximum99
Range19
Interquartile range (IQR)4.818319321

Descriptive statistics

Standard deviation3.728273862
Coefficient of variation (CV)0.04071459229
Kurtosis0.2774233731
Mean91.5709492
Median Absolute Deviation (MAD)2.436695099
Skewness-0.2950516239
Sum13918.78428
Variance13.90002599
MonotonicityNot monotonic
2024-03-27T11:53:36.015969image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
96 10
 
6.6%
91 10
 
6.6%
92 10
 
6.6%
90 9
 
5.9%
95 9
 
5.9%
94 9
 
5.9%
93 6
 
3.9%
98 5
 
3.3%
99 4
 
2.6%
97 4
 
2.6%
Other values (70) 76
50.0%
ValueCountFrequency (%)
80 2
1.3%
82 1
0.7%
84 1
0.7%
84.29093933 1
0.7%
85 1
0.7%
ValueCountFrequency (%)
99 4
 
2.6%
98 5
3.3%
97 4
 
2.6%
96.44875336 1
 
0.7%
96 10
6.6%

hou_mkt_pplunit_psh_hud
Real number (ℝ)

Distinct125
Distinct (%)82.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean196.7625058
Minimum132.1604671
Maximum247.3852633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:36.225289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum132.1604671
5-th percentile165.4903719
Q1180.1317714
median197.5250791
Q3210
95-th percentile230.9346828
Maximum247.3852633
Range115.2247963
Interquartile range (IQR)29.86822862

Descriptive statistics

Standard deviation21.66376718
Coefficient of variation (CV)0.1101010941
Kurtosis-0.04507800078
Mean196.7625058
Median Absolute Deviation (MAD)14.72526055
Skewness-0.05551441642
Sum29907.90088
Variance469.3188083
MonotonicityNot monotonic
2024-03-27T11:53:36.428568image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
210 11
 
7.2%
200 7
 
4.6%
220 5
 
3.3%
230 4
 
2.6%
180 3
 
2.0%
190 3
 
2.0%
227.7603261 1
 
0.7%
197.3116279 1
 
0.7%
247.3852633 1
 
0.7%
169.2358453 1
 
0.7%
Other values (115) 115
75.7%
ValueCountFrequency (%)
132.1604671 1
0.7%
133.4972537 1
0.7%
160.3594803 1
0.7%
161.7693149 1
0.7%
163.5975888 1
0.7%
ValueCountFrequency (%)
247.3852633 1
0.7%
245.5456818 1
0.7%
241.3842778 1
0.7%
240.3829401 1
0.7%
237.6205898 1
0.7%

hou_pol_eli_psh_hud
Real number (ℝ)

Distinct84
Distinct (%)55.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean72.09825922
Minimum58.99999619
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:36.630798image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum58.99999619
5-th percentile61.74230919
Q167.94141388
median72
Q376
95-th percentile81
Maximum82
Range23.00000381
Interquartile range (IQR)8.058586121

Descriptive statistics

Standard deviation5.62609589
Coefficient of variation (CV)0.07803372718
Kurtosis-0.6480413062
Mean72.09825922
Median Absolute Deviation (MAD)4.021865845
Skewness-0.1938432964
Sum10958.9354
Variance31.65295497
MonotonicityNot monotonic
2024-03-27T11:53:36.822758image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
76 11
 
7.2%
74 9
 
5.9%
79 8
 
5.3%
71 7
 
4.6%
80 6
 
3.9%
78 6
 
3.9%
82 6
 
3.9%
72 5
 
3.3%
75 5
 
3.3%
77 4
 
2.6%
Other values (74) 85
55.9%
ValueCountFrequency (%)
58.99999619 1
0.7%
59.77866745 1
0.7%
59.78447342 1
0.7%
60.4393425 1
0.7%
60.67884445 1
0.7%
ValueCountFrequency (%)
82 6
3.9%
81 3
 
2.0%
80 6
3.9%
79 8
5.3%
78.4482193 1
 
0.7%
Distinct83
Distinct (%)54.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.06539955
Minimum2
Maximum22
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:37.011227image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile5.50090704
Q17
median9
Q312.11602139
95-th percentile18.45
Maximum22
Range20
Interquartile range (IQR)5.116021395

Descriptive statistics

Standard deviation3.955153201
Coefficient of variation (CV)0.3929454743
Kurtosis0.8424653372
Mean10.06539955
Median Absolute Deviation (MAD)2.234857321
Skewness0.9345081527
Sum1529.940732
Variance15.64323684
MonotonicityNot monotonic
2024-03-27T11:53:37.228161image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 13
 
8.6%
9 13
 
8.6%
10 11
 
7.2%
6 8
 
5.3%
11 6
 
3.9%
13 5
 
3.3%
8 5
 
3.3%
14 4
 
2.6%
5 4
 
2.6%
17 3
 
2.0%
Other values (73) 80
52.6%
ValueCountFrequency (%)
2 2
1.3%
5 4
2.6%
5.267772675 1
 
0.7%
5.354585648 1
 
0.7%
5.620624542 1
 
0.7%
ValueCountFrequency (%)
22 2
1.3%
21 2
1.3%
20 2
1.3%
19 2
1.3%
18 1
0.7%

hou_mkt_units_census
Real number (ℝ)

Distinct149
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean279687.4474
Minimum39229
Maximum2189575
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:37.450835image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum39229
5-th percentile46278.85
Q1103111
median173009
Q3268846.75
95-th percentile1178177.6
Maximum2189575
Range2150346
Interquartile range (IQR)165735.75

Descriptive statistics

Standard deviation458436.3804
Coefficient of variation (CV)1.639102451
Kurtosis13.28584821
Mean279687.4474
Median Absolute Deviation (MAD)81960
Skewness3.798595198
Sum42512492
Variance2.101639149 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:37.649121image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50515 3
 
2.0%
41104 2
 
1.3%
118301 1
 
0.7%
263238 1
 
0.7%
285919 1
 
0.7%
271223 1
 
0.7%
118175 1
 
0.7%
304947 1
 
0.7%
91883 1
 
0.7%
41171 1
 
0.7%
Other values (139) 139
91.4%
ValueCountFrequency (%)
39229 1
0.7%
41090 1
0.7%
41096 1
0.7%
41098 1
0.7%
41104 2
1.3%
ValueCountFrequency (%)
2189575 1
0.7%
2186335 1
0.7%
2182572 1
0.7%
2179797 1
0.7%
2178903 1
0.7%
Distinct136
Distinct (%)89.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean498.9013158
Minimum31
Maximum2194
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:37.844924image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile60.4
Q1288.5
median429
Q3576.75
95-th percentile1294.55
Maximum2194
Range2163
Interquartile range (IQR)288.25

Descriptive statistics

Standard deviation387.5418672
Coefficient of variation (CV)0.7767906295
Kurtosis4.111933543
Mean498.9013158
Median Absolute Deviation (MAD)142.5
Skewness1.78378084
Sum75833
Variance150188.6988
MonotonicityNot monotonic
2024-03-27T11:53:38.215742image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
328 3
 
2.0%
323 2
 
1.3%
612 2
 
1.3%
294 2
 
1.3%
124 2
 
1.3%
429 2
 
1.3%
1363 2
 
1.3%
405 2
 
1.3%
498 2
 
1.3%
534 2
 
1.3%
Other values (126) 131
86.2%
ValueCountFrequency (%)
31 1
0.7%
42 1
0.7%
43 1
0.7%
45 1
0.7%
46 1
0.7%
ValueCountFrequency (%)
2194 1
0.7%
2040 1
0.7%
1734 1
0.7%
1664 1
0.7%
1568 1
0.7%
Distinct141
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean836.0526316
Minimum40
Maximum10956
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:38.410628image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile71.75
Q1352.75
median561.5
Q3801.25
95-th percentile2151.25
Maximum10956
Range10916
Interquartile range (IQR)448.5

Descriptive statistics

Standard deviation1323.696124
Coefficient of variation (CV)1.583268892
Kurtosis31.79944963
Mean836.0526316
Median Absolute Deviation (MAD)233.5
Skewness5.211833619
Sum127080
Variance1752171.428
MonotonicityNot monotonic
2024-03-27T11:53:38.616466image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
642 2
 
1.3%
478 2
 
1.3%
523 2
 
1.3%
466 2
 
1.3%
1341 2
 
1.3%
525 2
 
1.3%
617 2
 
1.3%
79 2
 
1.3%
527 2
 
1.3%
487 2
 
1.3%
Other values (131) 132
86.8%
ValueCountFrequency (%)
40 1
0.7%
43 1
0.7%
45 1
0.7%
47 1
0.7%
51 1
0.7%
ValueCountFrequency (%)
10956 1
0.7%
7855 1
0.7%
7753 1
0.7%
4645 1
0.7%
3436 1
0.7%

hou_mkt_pmt_totvalue_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164973113.9
Minimum6515842
Maximum1909931392
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:38.815436image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6515842
5-th percentile12461294.25
Q156654910.5
median100327176
Q3158609672
95-th percentile504190667.2
Maximum1909931392
Range1903415550
Interquartile range (IQR)101954761.5

Descriptive statistics

Standard deviation260719029.9
Coefficient of variation (CV)1.580372848
Kurtosis23.97579402
Mean164973113.9
Median Absolute Deviation (MAD)46660589
Skewness4.524433737
Sum2.507591331 × 1010
Variance6.797441256 × 1016
MonotonicityNot monotonic
2024-03-27T11:53:39.035483image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
93385205 1
 
0.7%
54318707 1
 
0.7%
278326016 1
 
0.7%
119686912 1
 
0.7%
105128024 1
 
0.7%
410311552 1
 
0.7%
83626752 1
 
0.7%
252424848 1
 
0.7%
129234656 1
 
0.7%
65948386 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
6515842 1
0.7%
7608595 1
0.7%
9541251 1
0.7%
9563033 1
0.7%
9957000 1
0.7%
ValueCountFrequency (%)
1909931392 1
0.7%
1650540928 1
0.7%
1524678784 1
0.7%
906165824 1
0.7%
707191552 1
0.7%

econ_labor_pov_pop_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92696.34868
Minimum14083
Maximum926826
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:39.254003image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum14083
5-th percentile16536.45
Q132783
median52548
Q366609
95-th percentile400853.45
Maximum926826
Range912743
Interquartile range (IQR)33826

Descriptive statistics

Standard deviation184546.2179
Coefficient of variation (CV)1.990868255
Kurtosis14.40101578
Mean92696.34868
Median Absolute Deviation (MAD)17896
Skewness3.984086883
Sum14089845
Variance3.405730656 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:39.450975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
46102 1
 
0.7%
52229 1
 
0.7%
55134 1
 
0.7%
34772 1
 
0.7%
39745 1
 
0.7%
64330 1
 
0.7%
26767 1
 
0.7%
59478 1
 
0.7%
44084 1
 
0.7%
52867 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
14083 1
0.7%
14452 1
0.7%
15566 1
0.7%
15572 1
0.7%
15822 1
0.7%
ValueCountFrequency (%)
926826 1
0.7%
918295 1
0.7%
912067 1
0.7%
883001 1
0.7%
858392 1
0.7%

econ_labor_medinc_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56.41149193
Minimum40.76418254
Maximum84.999
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:39.651637image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum40.76418254
5-th percentile42.79125832
Q147.73325
median51.721
Q365.60575
95-th percentile78.9887
Maximum84.999
Range44.23481746
Interquartile range (IQR)17.8725

Descriptive statistics

Standard deviation12.02268192
Coefficient of variation (CV)0.2131246933
Kurtosis-0.5522032203
Mean56.41149193
Median Absolute Deviation (MAD)4.988795323
Skewness0.9017302881
Sum8574.546773
Variance144.5448804
MonotonicityNot monotonic
2024-03-27T11:53:39.850712image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56.95852912 1
 
0.7%
49.26284928 1
 
0.7%
73.684 1
 
0.7%
56.297 1
 
0.7%
50.598 1
 
0.7%
84.999 1
 
0.7%
55.09 1
 
0.7%
83.344 1
 
0.7%
46.368 1
 
0.7%
42.7231296 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
40.76418254 1
0.7%
41.41709085 1
0.7%
41.80198151 1
0.7%
41.92878873 1
0.7%
42.101 1
0.7%
ValueCountFrequency (%)
84.999 1
0.7%
83.344 1
0.7%
82.56351401 1
0.7%
82.16 1
0.7%
81.616 1
0.7%

econ_sn_ssdi_SSA
Real number (ℝ)

Distinct150
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14903.38816
Minimum1520
Maximum111865
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:40.049821image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1520
5-th percentile2542.75
Q15776.25
median9525
Q313667.5
95-th percentile56670.75
Maximum111865
Range110345
Interquartile range (IQR)7891.25

Descriptive statistics

Standard deviation22635.11094
Coefficient of variation (CV)1.5187896
Kurtosis13.11557054
Mean14903.38816
Median Absolute Deviation (MAD)3772.5
Skewness3.756615968
Sum2265315
Variance512348247.2
MonotonicityNot monotonic
2024-03-27T11:53:40.248417image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12965 2
 
1.3%
3840 2
 
1.3%
10890 1
 
0.7%
11550 1
 
0.7%
11140 1
 
0.7%
9940 1
 
0.7%
19645 1
 
0.7%
5765 1
 
0.7%
18490 1
 
0.7%
3660 1
 
0.7%
Other values (140) 140
92.1%
ValueCountFrequency (%)
1520 1
0.7%
1605 1
0.7%
1665 1
0.7%
1745 1
0.7%
1765 1
0.7%
ValueCountFrequency (%)
111865 1
0.7%
111775 1
0.7%
110495 1
0.7%
109365 1
0.7%
109220 1
0.7%

econ_sn_ssdi_part_rate_SSA
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.430092677
Minimum1.237245917
Maximum3.532894611
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:40.438695image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.237245917
5-th percentile1.415605634
Q11.727993578
median2.637551069
Q33.072487533
95-th percentile3.404448056
Maximum3.532894611
Range2.295648694
Interquartile range (IQR)1.344493955

Descriptive statistics

Standard deviation0.7125192881
Coefficient of variation (CV)0.2932066316
Kurtosis-1.519974233
Mean2.430092677
Median Absolute Deviation (MAD)0.6507194042
Skewness-0.08660349925
Sum369.3740869
Variance0.5076837359
MonotonicityNot monotonic
2024-03-27T11:53:40.631459image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.472613335 1
 
0.7%
3.251908064 1
 
0.7%
1.566980243 1
 
0.7%
3.35469389 1
 
0.7%
3.188659191 1
 
0.7%
1.370344162 1
 
0.7%
2.778466702 1
 
0.7%
1.544823289 1
 
0.7%
2.796845436 1
 
0.7%
2.969443321 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1.237245917 1
0.7%
1.332626104 1
0.7%
1.369505882 1
0.7%
1.369980574 1
0.7%
1.370344162 1
0.7%
ValueCountFrequency (%)
3.532894611 1
0.7%
3.506765127 1
0.7%
3.505975485 1
0.7%
3.505792856 1
0.7%
3.487579823 1
0.7%

econ_sn_ssi_part_SSA
Real number (ℝ)

Distinct149
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14459.65789
Minimum709
Maximum159485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:40.820803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum709
5-th percentile1279.5
Q14460.25
median7487.5
Q38235.75
95-th percentile76793.9
Maximum159485
Range158776
Interquartile range (IQR)3775.5

Descriptive statistics

Standard deviation33876.05938
Coefficient of variation (CV)2.342798123
Kurtosis14.2792939
Mean14459.65789
Median Absolute Deviation (MAD)2517.5
Skewness3.989109196
Sum2197868
Variance1147587399
MonotonicityNot monotonic
2024-03-27T11:53:41.030204image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7745 2
 
1.3%
9685 2
 
1.3%
7725 2
 
1.3%
8229 1
 
0.7%
7010 1
 
0.7%
14081 1
 
0.7%
1979 1
 
0.7%
10887 1
 
0.7%
3140 1
 
0.7%
988 1
 
0.7%
Other values (139) 139
91.4%
ValueCountFrequency (%)
709 1
0.7%
732 1
0.7%
769 1
0.7%
803 1
0.7%
850 1
0.7%
ValueCountFrequency (%)
159485 1
0.7%
159231 1
0.7%
158840 1
0.7%
157804 1
0.7%
156576 1
0.7%

econ_sn_ssi_pay_SSA
Real number (ℝ)

Distinct149
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8035.289474
Minimum377
Maximum90348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:41.239598image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum377
5-th percentile702.1
Q12359.5
median3864.5
Q34700.5
95-th percentile43295.95
Maximum90348
Range89971
Interquartile range (IQR)2341

Descriptive statistics

Standard deviation19182.46562
Coefficient of variation (CV)2.387277481
Kurtosis14.31627576
Mean8035.289474
Median Absolute Deviation (MAD)1247
Skewness3.995324994
Sum1221364
Variance367966987.1
MonotonicityNot monotonic
2024-03-27T11:53:41.430269image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4062 2
 
1.3%
4068 2
 
1.3%
1433 2
 
1.3%
4786 1
 
0.7%
3743 1
 
0.7%
7721 1
 
0.7%
1128 1
 
0.7%
6135 1
 
0.7%
1750 1
 
0.7%
635 1
 
0.7%
Other values (139) 139
91.4%
ValueCountFrequency (%)
377 1
0.7%
396 1
0.7%
403 1
0.7%
455 1
0.7%
473 1
0.7%
ValueCountFrequency (%)
90348 1
0.7%
89960 1
0.7%
89910 1
0.7%
89861 1
0.7%
89712 1
0.7%

econ_sn_ssi_part_rate_SSA
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.791422595
Minimum0.4768456817
Maximum3.211984158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:41.614936image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4768456817
5-th percentile0.6579892069
Q10.9534759372
median1.871723056
Q32.330431998
95-th percentile3.059669995
Maximum3.211984158
Range2.735138476
Interquartile range (IQR)1.376956061

Descriptive statistics

Standard deviation0.7751623966
Coefficient of variation (CV)0.4327077256
Kurtosis-1.04350673
Mean1.791422595
Median Absolute Deviation (MAD)0.5899453163
Skewness0.1236384182
Sum272.2962344
Variance0.6008767411
MonotonicityNot monotonic
2024-03-27T11:53:41.807334image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.977836728 1
 
0.7%
1.896214843 1
 
0.7%
0.953332305 1
 
0.7%
2.195423126 1
 
0.7%
3.044238329 1
 
0.7%
0.8618347645 1
 
0.7%
2.299700022 1
 
0.7%
1.167341709 1
 
0.7%
3.211984158 1
 
0.7%
1.857233763 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.4768456817 1
0.7%
0.5257895589 1
0.7%
0.5538495183 1
0.7%
0.5801992416 1
0.7%
0.588738203 1
0.7%
ValueCountFrequency (%)
3.211984158 1
0.7%
3.186057568 1
0.7%
3.182261467 1
0.7%
3.162132978 1
0.7%
3.15933156 1
0.7%

hou_mkt_evict_count
Real number (ℝ)

ZEROS 

Distinct145
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1679.125
Minimum0
Maximum16570
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:42.006892image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile223.2
Q1543.5
median964
Q31429.5
95-th percentile6406.75
Maximum16570
Range16570
Interquartile range (IQR)886

Descriptive statistics

Standard deviation3039.021667
Coefficient of variation (CV)1.809884116
Kurtosis14.43197035
Mean1679.125
Median Absolute Deviation (MAD)457.5
Skewness3.891332103
Sum255227
Variance9235652.693
MonotonicityNot monotonic
2024-03-27T11:53:42.208415image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
2.0%
229 2
 
1.3%
1018 2
 
1.3%
574 2
 
1.3%
1146 2
 
1.3%
391 2
 
1.3%
10903 1
 
0.7%
1549 1
 
0.7%
1302 1
 
0.7%
588 1
 
0.7%
Other values (135) 135
88.8%
ValueCountFrequency (%)
0 3
2.0%
198 1
 
0.7%
201 1
 
0.7%
215 1
 
0.7%
220 1
 
0.7%
ValueCountFrequency (%)
16570 1
0.7%
15463 1
0.7%
15415 1
0.7%
15287 1
0.7%
14440 1
0.7%

hou_mkt_evict_file_count
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3398.822368
Minimum0
Maximum38314
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:42.576629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile310
Q1848.5
median1513
Q32141.25
95-th percentile16261.6
Maximum38314
Range38314
Interquartile range (IQR)1292.75

Descriptive statistics

Standard deviation7770.717183
Coefficient of variation (CV)2.286296941
Kurtosis14.27980152
Mean3398.822368
Median Absolute Deviation (MAD)649.5
Skewness3.960641508
Sum516621
Variance60384045.54
MonotonicityNot monotonic
2024-03-27T11:53:42.792286image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1539 3
 
2.0%
0 3
 
2.0%
1337 2
 
1.3%
999 2
 
1.3%
2106 2
 
1.3%
310 2
 
1.3%
2339 1
 
0.7%
2187 1
 
0.7%
2135 1
 
0.7%
607 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
0 3
2.0%
284 1
 
0.7%
289 1
 
0.7%
290 1
 
0.7%
300 1
 
0.7%
ValueCountFrequency (%)
38314 1
0.7%
37376 1
0.7%
37136 1
0.7%
36864 1
0.7%
36614 1
0.7%

hou_mkt_renter_count_evlab
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85950.74342
Minimum13715
Maximum894020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:43.000510image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum13715
5-th percentile14703.85
Q127446.25
median41641.5
Q361675.25
95-th percentile421318.8
Maximum894020
Range880305
Interquartile range (IQR)34229

Descriptive statistics

Standard deviation182759.878
Coefficient of variation (CV)2.12633272
Kurtosis14.24318904
Mean85950.74342
Median Absolute Deviation (MAD)15719
Skewness3.976098608
Sum13064513
Variance3.340117302 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:43.197183image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48032 1
 
0.7%
43856 1
 
0.7%
45005 1
 
0.7%
31906 1
 
0.7%
37285 1
 
0.7%
93078 1
 
0.7%
26970 1
 
0.7%
61952 1
 
0.7%
35054 1
 
0.7%
40381 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
13715 1
0.7%
13770 1
0.7%
13921 1
0.7%
14073 1
0.7%
14224 1
0.7%
ValueCountFrequency (%)
894020 1
0.7%
882101 1
0.7%
870181 1
0.7%
858261 1
0.7%
846341 1
0.7%

hou_mkt_evict_flag
Real number (ℝ)

ZEROS 

Distinct11
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.697368421
Minimum0
Maximum11
Zeros82
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:43.357115image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile7
Maximum11
Range11
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.616907516
Coefficient of variation (CV)1.541743963
Kurtosis1.787218822
Mean1.697368421
Median Absolute Deviation (MAD)0
Skewness1.616579673
Sum258
Variance6.848204949
MonotonicityNot monotonic
2024-03-27T11:53:43.502072image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
0 82
53.9%
1 26
 
17.1%
4 10
 
6.6%
7 7
 
4.6%
3 6
 
3.9%
6 6
 
3.9%
5 5
 
3.3%
2 4
 
2.6%
9 2
 
1.3%
8 2
 
1.3%
ValueCountFrequency (%)
0 82
53.9%
1 26
 
17.1%
2 4
 
2.6%
3 6
 
3.9%
4 10
 
6.6%
ValueCountFrequency (%)
11 2
 
1.3%
9 2
 
1.3%
8 2
 
1.3%
7 7
4.6%
6 6
3.9%

hou_mkt_evict_file_rate
Real number (ℝ)

ZEROS 

Distinct141
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.708130115
Minimum0
Maximum9.425731659
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:43.678813image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.233237362
Q12.370000064
median3.765000105
Q34.772500038
95-th percentile6.3150002
Maximum9.425731659
Range9.425731659
Interquartile range (IQR)2.402499974

Descriptive statistics

Standard deviation1.730970875
Coefficient of variation (CV)0.466804244
Kurtosis0.7739673156
Mean3.708130115
Median Absolute Deviation (MAD)1.189999819
Skewness0.5157648362
Sum563.6357775
Variance2.99626017
MonotonicityNot monotonic
2024-03-27T11:53:43.890984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.480000019 3
 
2.0%
0 3
 
2.0%
5.019999981 3
 
2.0%
3.859999657 2
 
1.3%
3.029999971 2
 
1.3%
4.329999924 2
 
1.3%
5.53000021 2
 
1.3%
5.349999905 2
 
1.3%
2.529999971 1
 
0.7%
2.059999943 1
 
0.7%
Other values (131) 131
86.2%
ValueCountFrequency (%)
0 3
2.0%
1.194419861 1
 
0.7%
1.199031949 1
 
0.7%
1.211287498 1
 
0.7%
1.222880721 1
 
0.7%
ValueCountFrequency (%)
9.425731659 1
0.7%
8.800138474 1
0.7%
8.549041748 1
0.7%
8.534963608 1
0.7%
7.840290546 1
0.7%

hou_mkt_evict_rate
Real number (ℝ)

ZEROS 

Distinct133
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.252639458
Minimum0
Maximum5.991265774
Zeros3
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:44.105483image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8601674616
Q11.512753814
median2.035758495
Q32.887500107
95-th percentile4.232235837
Maximum5.991265774
Range5.991265774
Interquartile range (IQR)1.374746293

Descriptive statistics

Standard deviation1.093408452
Coefficient of variation (CV)0.4853899051
Kurtosis0.6912887339
Mean2.252639458
Median Absolute Deviation (MAD)0.6899999976
Skewness0.7311007024
Sum342.4011976
Variance1.195542044
MonotonicityNot monotonic
2024-03-27T11:53:44.305141image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.860000014 5
 
3.3%
1.440000057 4
 
2.6%
1.960000038 3
 
2.0%
0 3
 
2.0%
1.669999957 3
 
2.0%
3.99000001 2
 
1.3%
3.299999952 2
 
1.3%
2.00999999 2
 
1.3%
1.629999995 2
 
1.3%
4.119999886 2
 
1.3%
Other values (123) 124
81.6%
ValueCountFrequency (%)
0 3
2.0%
0.5720995069 1
 
0.7%
0.7900000811 1
 
0.7%
0.8283481002 1
 
0.7%
0.8289368153 1
 
0.7%
ValueCountFrequency (%)
5.991265774 1
0.7%
5.39398098 1
0.7%
5.31541872 1
0.7%
4.845476151 1
0.7%
4.729428291 1
0.7%

dem_health_alcoholdeath_IMHE
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.018712167
Minimum1.223962373
Maximum3.498429144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:44.472629image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.223962373
5-th percentile1.338887489
Q11.61
median1.912824802
Q32.3
95-th percentile2.869842914
Maximum3.498429144
Range2.274466771
Interquartile range (IQR)0.69

Descriptive statistics

Standard deviation0.5596726485
Coefficient of variation (CV)0.277242421
Kurtosis1.293397889
Mean2.018712167
Median Absolute Deviation (MAD)0.3871751978
Skewness0.8988604899
Sum38.35553117
Variance0.3132334735
MonotonicityNot monotonic
2024-03-27T11:53:44.626741image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.3 2
 
1.3%
2.24 1
 
0.7%
1.875787386 1
 
0.7%
2.8 1
 
0.7%
1.83 1
 
0.7%
2.43 1
 
0.7%
2.255990368 1
 
0.7%
1.69 1
 
0.7%
1.52 1
 
0.7%
1.351656947 1
 
0.7%
Other values (8) 8
 
5.3%
(Missing) 133
87.5%
ValueCountFrequency (%)
1.223962373 1
0.7%
1.351656947 1
0.7%
1.37 1
0.7%
1.52 1
0.7%
1.53 1
0.7%
ValueCountFrequency (%)
3.498429144 1
0.7%
2.8 1
0.7%
2.43 1
0.7%
2.42 1
0.7%
2.3 2
1.3%

dem_mort_lifeexp_IMHE
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean78.99947442
Minimum76.67
Maximum81.87
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:44.775118image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum76.67
5-th percentile77.111
Q178.23431357
median78.67
Q380.09073325
95-th percentile81.123
Maximum81.87
Range5.2
Interquartile range (IQR)1.856419671

Descriptive statistics

Standard deviation1.421570111
Coefficient of variation (CV)0.01799467808
Kurtosis-0.6071195633
Mean78.99947442
Median Absolute Deviation (MAD)1.22
Skewness0.3838873348
Sum1500.990014
Variance2.020861579
MonotonicityNot monotonic
2024-03-27T11:53:44.948251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
80.92 1
 
0.7%
78.23611485 1
 
0.7%
76.67 1
 
0.7%
81.04 1
 
0.7%
78.33 1
 
0.7%
77.7 1
 
0.7%
78.54976073 1
 
0.7%
80.25 1
 
0.7%
81.87 1
 
0.7%
78.28959502 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
76.67 1
0.7%
77.16 1
0.7%
77.41250285 1
0.7%
77.7 1
0.7%
78.2325123 1
0.7%
ValueCountFrequency (%)
81.87 1
0.7%
81.04 1
0.7%
80.92 1
0.7%
80.25 1
0.7%
80.15 1
0.7%

econ_sn_eitc_irs
Real number (ℝ)

MISSING 

Distinct132
Distinct (%)99.2%
Missing19
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean55003.93985
Minimum6342
Maximum517649
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:45.135441image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6342
5-th percentile9012
Q117160
median31830
Q346099
95-th percentile222616
Maximum517649
Range511307
Interquartile range (IQR)28939

Descriptive statistics

Standard deviation106470.6603
Coefficient of variation (CV)1.935691527
Kurtosis14.08586728
Mean55003.93985
Median Absolute Deviation (MAD)14670
Skewness3.938494121
Sum7315524
Variance1.133600151 × 1010
MonotonicityNot monotonic
2024-03-27T11:53:45.346381image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
54210 2
 
1.3%
506368 1
 
0.7%
40550 1
 
0.7%
13737 1
 
0.7%
47830 1
 
0.7%
15580 1
 
0.7%
52800 1
 
0.7%
14160 1
 
0.7%
6940 1
 
0.7%
474010 1
 
0.7%
Other values (122) 122
80.3%
(Missing) 19
 
12.5%
ValueCountFrequency (%)
6342 1
0.7%
6535 1
0.7%
6800 1
0.7%
6940 1
0.7%
6950 1
0.7%
ValueCountFrequency (%)
517649 1
0.7%
506370 1
0.7%
506368 1
0.7%
504110 1
0.7%
503440 1
0.7%

econ_sn_returns_irs
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)100.0%
Missing19
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean321303.6767
Minimum44203
Maximum2553180
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:45.548732image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum44203
5-th percentile47290
Q1102482
median183020
Q3320440
95-th percentile1284352
Maximum2553180
Range2508977
Interquartile range (IQR)217958

Descriptive statistics

Standard deviation534163.4551
Coefficient of variation (CV)1.662487839
Kurtosis13.06991888
Mean321303.6767
Median Absolute Deviation (MAD)81200
Skewness3.751934824
Sum42733389
Variance2.853305968 × 1011
MonotonicityNot monotonic
2024-03-27T11:53:45.753755image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
230256 1
 
0.7%
342650 1
 
0.7%
240764 1
 
0.7%
160240 1
 
0.7%
2499220 1
 
0.7%
251150 1
 
0.7%
154730 1
 
0.7%
316420 1
 
0.7%
84500 1
 
0.7%
45760 1
 
0.7%
Other values (123) 123
80.9%
(Missing) 19
 
12.5%
ValueCountFrequency (%)
44203 1
0.7%
45070 1
0.7%
45238 1
0.7%
45640 1
0.7%
45760 1
0.7%
ValueCountFrequency (%)
2553180 1
0.7%
2540973 1
0.7%
2536230 1
0.7%
2524550 1
0.7%
2520680 1
0.7%

econ_sn_eitc_irs_share
Real number (ℝ)

MISSING 

Distinct133
Distinct (%)100.0%
Missing19
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean16.47131581
Minimum9.608420372
Maximum22.26340485
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:45.951018image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum9.608420372
5-th percentile10.18363152
Q114.44582081
median16.8502121
Q319.04439545
95-th percentile21.43174553
Maximum22.26340485
Range12.65498447
Interquartile range (IQR)4.598574638

Descriptive statistics

Standard deviation3.265259539
Coefficient of variation (CV)0.1982391435
Kurtosis-0.5163070726
Mean16.47131581
Median Absolute Deviation (MAD)2.357316971
Skewness-0.4111384554
Sum2190.685003
Variance10.66191986
MonotonicityNot monotonic
2024-03-27T11:53:46.167396image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14.13557053 1
 
0.7%
11.83423328 1
 
0.7%
16.95519257 1
 
0.7%
20.16350555 1
 
0.7%
20.26104164 1
 
0.7%
19.04439545 1
 
0.7%
10.06915283 1
 
0.7%
16.68668175 1
 
0.7%
16.7573967 1
 
0.7%
15.16608429 1
 
0.7%
Other values (123) 123
80.9%
(Missing) 19
 
12.5%
ValueCountFrequency (%)
9.608420372 1
0.7%
9.893770218 1
0.7%
9.992141724 1
0.7%
10.05893612 1
0.7%
10.06915283 1
0.7%
ValueCountFrequency (%)
22.26340485 1
0.7%
22.10362053 1
0.7%
21.94799805 1
0.7%
21.82954025 1
0.7%
21.62500763 1
0.7%

dem_health_mentalhlth_chr
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean606.9473684
Minimum83
Maximum3627
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:46.340518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum83
5-th percentile119
Q1163
median211
Q3781
95-th percentile1611.9
Maximum3627
Range3544
Interquartile range (IQR)618

Descriptive statistics

Standard deviation867.4500609
Coefficient of variation (CV)1.429201453
Kurtosis8.0347184
Mean606.9473684
Median Absolute Deviation (MAD)60
Skewness2.650992544
Sum11532
Variance752469.6082
MonotonicityNot monotonic
2024-03-27T11:53:46.501046image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
123 1
 
0.7%
1274 1
 
0.7%
247 1
 
0.7%
410 1
 
0.7%
1382 1
 
0.7%
173 1
 
0.7%
135 1
 
0.7%
83 1
 
0.7%
234 1
 
0.7%
186 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
83 1
0.7%
123 1
0.7%
135 1
0.7%
151 1
0.7%
154 1
0.7%
ValueCountFrequency (%)
3627 1
0.7%
1388 1
0.7%
1382 1
0.7%
1274 1
0.7%
1152 1
0.7%

dem_health_excesdrink_chr
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.2088399718
Minimum0.1836968809
Maximum0.2397446632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:46.668611image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1836968809
5-th percentile0.1870519623
Q10.2061917856
median0.2075574845
Q30.2147827521
95-th percentile0.2306381747
Maximum0.2397446632
Range0.0560477823
Interquartile range (IQR)0.008590966463

Descriptive statistics

Standard deviation0.01433313025
Coefficient of variation (CV)0.06863212119
Kurtosis0.1924667466
Mean0.2088399718
Median Absolute Deviation (MAD)0.003887474537
Skewness0.1631934417
Sum3.967959464
Variance0.0002054386228
MonotonicityNot monotonic
2024-03-27T11:53:46.816625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.188189134 1
 
0.7%
0.2062477618 1
 
0.7%
0.211444959 1
 
0.7%
0.211341694 1
 
0.7%
0.2074179947 1
 
0.7%
0.2075574845 1
 
0.7%
0.2082058638 1
 
0.7%
0.1936571151 1
 
0.7%
0.2242015451 1
 
0.7%
0.2061358094 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.1836968809 1
0.7%
0.1874247491 1
0.7%
0.188189134 1
0.7%
0.1936571151 1
0.7%
0.2061358094 1
0.7%
ValueCountFrequency (%)
0.2397446632 1
0.7%
0.2296263427 1
0.7%
0.2242015451 1
0.7%
0.2230405062 1
0.7%
0.2181205451 1
0.7%

dem_health_cost_dart
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.280765064
Minimum7.712790556
Maximum11.27176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:46.991797image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum7.712790556
5-th percentile8.117389
Q18.632847911
median9.06405
Q39.8464175
95-th percentile10.8815576
Maximum11.27176
Range3.558969444
Interquartile range (IQR)1.213569589

Descriptive statistics

Standard deviation0.8489355529
Coefficient of variation (CV)0.09147258303
Kurtosis-0.5223273109
Mean9.280765064
Median Absolute Deviation (MAD)0.5782066548
Skewness0.5080928833
Sum1410.67629
Variance0.720691573
MonotonicityNot monotonic
2024-03-27T11:53:47.191178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.657896635 1
 
0.7%
9.693160737 1
 
0.7%
10.9816 1
 
0.7%
9.62956 1
 
0.7%
9.45713 1
 
0.7%
10.1767 1
 
0.7%
9.19068 1
 
0.7%
10.44686 1
 
0.7%
8.95343 1
 
0.7%
8.185076677 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
7.712790556 1
0.7%
7.715685818 1
0.7%
7.91161 1
0.7%
7.95941 1
0.7%
7.963468351 1
0.7%
ValueCountFrequency (%)
11.27176 1
0.7%
11.2408 1
0.7%
11.23132 1
0.7%
11.1446 1
0.7%
11.01550938 1
0.7%

hou_pol_hlessconduct_food
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:47.350714image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:53:47.491592image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

hou_pol_hlessconduct_total
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3157894737
Minimum0
Maximum5
Zeros136
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:47.624069image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile2.8
Maximum5
Range5
Interquartile range (IQR)0

Descriptive statistics

Standard deviation1.130088508
Coefficient of variation (CV)3.578613607
Kurtosis13.22553612
Mean0.3157894737
Median Absolute Deviation (MAD)0
Skewness3.8152903
Sum48
Variance1.277100035
MonotonicityNot monotonic
2024-03-27T11:53:47.944804image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 136
89.5%
5 8
 
5.3%
1 8
 
5.3%
ValueCountFrequency (%)
0 136
89.5%
1 8
 
5.3%
5 8
 
5.3%
ValueCountFrequency (%)
5 8
 
5.3%
1 8
 
5.3%
0 136
89.5%

hou_pol_hlessconduct_sleep
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1052631579
Minimum0
Maximum2
Zeros144
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:48.079247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.9
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4480701036
Coefficient of variation (CV)4.256665984
Kurtosis14.56964206
Mean0.1052631579
Median Absolute Deviation (MAD)0
Skewness4.046985771
Sum16
Variance0.2007668177
MonotonicityNot monotonic
2024-03-27T11:53:48.231323image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 144
94.7%
2 8
 
5.3%
ValueCountFrequency (%)
0 144
94.7%
2 8
 
5.3%
ValueCountFrequency (%)
2 8
 
5.3%
0 144
94.7%

hou_pol_hlessconduct_loiter
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.05263157895
Minimum0
Maximum1
Zeros144
Zeros (%)94.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:48.383526image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.45
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.2240350518
Coefficient of variation (CV)4.256665984
Kurtosis14.56964206
Mean0.05263157895
Median Absolute Deviation (MAD)0
Skewness4.046985771
Sum8
Variance0.05019170443
MonotonicityNot monotonic
2024-03-27T11:53:48.527006image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 144
94.7%
1 8
 
5.3%
ValueCountFrequency (%)
0 144
94.7%
1 8
 
5.3%
ValueCountFrequency (%)
1 8
 
5.3%
0 144
94.7%

hou_pol_hlessconduct_beg
Real number (ℝ)

ZEROS 

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1578947368
Minimum0
Maximum2
Zeros136
Zeros (%)89.5%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:48.670243image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1.45
Maximum2
Range2
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4896986931
Coefficient of variation (CV)3.101425056
Kurtosis8.470236152
Mean0.1578947368
Median Absolute Deviation (MAD)0
Skewness3.100150268
Sum24
Variance0.23980481
MonotonicityNot monotonic
2024-03-27T11:53:48.822984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
0 136
89.5%
2 8
 
5.3%
1 8
 
5.3%
ValueCountFrequency (%)
0 136
89.5%
1 8
 
5.3%
2 8
 
5.3%
ValueCountFrequency (%)
2 8
 
5.3%
1 8
 
5.3%
0 136
89.5%

env_wea_avgtemp_summer_noaa
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.22887933
Minimum67.02666473
Maximum79.65333557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:49.013452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum67.02666473
5-th percentile68.7761673
Q171.10786057
median73.07536316
Q375.20416451
95-th percentile78.66134224
Maximum79.65333557
Range12.62667084
Interquartile range (IQR)4.09630394

Descriptive statistics

Standard deviation2.899811189
Coefficient of variation (CV)0.03959928399
Kurtosis-0.4611855317
Mean73.22887933
Median Absolute Deviation (MAD)2.055477142
Skewness0.0833428626
Sum11130.78966
Variance8.40890493
MonotonicityNot monotonic
2024-03-27T11:53:49.221002image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74.90830231 1
 
0.7%
76.00579071 1
 
0.7%
72.72666168 1
 
0.7%
78.08000183 1
 
0.7%
79.02999878 1
 
0.7%
73.44999695 1
 
0.7%
75.9833374 1
 
0.7%
72.41000366 1
 
0.7%
74.78666687 1
 
0.7%
72.5116806 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
67.02666473 1
0.7%
67.24134827 1
0.7%
67.26332855 1
0.7%
67.51999664 1
0.7%
68.1333313 1
0.7%
ValueCountFrequency (%)
79.65333557 1
0.7%
79.53333282 1
0.7%
79.21982574 1
0.7%
79.15333557 1
0.7%
79.02999878 1
0.7%

env_wea_precip_annual_noaa
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.62462354
Minimum24.45000076
Maximum63.21672058
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:49.411490image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum24.45000076
5-th percentile27.28293962
Q137.17166233
median40.4250679
Q344.34267807
95-th percentile52.35086746
Maximum63.21672058
Range38.76671982
Interquartile range (IQR)7.171015739

Descriptive statistics

Standard deviation6.901023318
Coefficient of variation (CV)0.1698729174
Kurtosis0.5311044751
Mean40.62462354
Median Absolute Deviation (MAD)3.723615646
Skewness0.04813720837
Sum6174.942778
Variance47.62412284
MonotonicityNot monotonic
2024-03-27T11:53:49.639784image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2779541 1
 
0.7%
39.69961166 1
 
0.7%
37.47999954 1
 
0.7%
42.04000092 1
 
0.7%
39.84000015 1
 
0.7%
38.17000198 1
 
0.7%
36.75999832 1
 
0.7%
33.13999939 1
 
0.7%
53.08000183 1
 
0.7%
51.43741226 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
24.45000076 1
0.7%
25.16580772 1
0.7%
26.07999992 1
0.7%
26.12999916 1
0.7%
26.5124588 1
0.7%
ValueCountFrequency (%)
63.21672058 1
0.7%
56.43215561 1
0.7%
54.78227234 1
0.7%
54.77999878 1
0.7%
54.34999847 1
0.7%

cpi_2017
Numeric time series

NON STATIONARY 

Distinct8
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.070990562
Minimum1.021386623
Maximum1.142495871
Zeros0
Zeros (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:49.931924image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.021386623
5-th percentile1.021386623
Q11.035312623
median1.060031056
Q31.098435432
95-th percentile1.142495871
Maximum1.142495871
Range0.1211092472
Interquartile range (IQR)0.06312280893

Descriptive statistics

Standard deviation0.04152156514
Coefficient of variation (CV)0.03876931002
Kurtosis-1.132787403
Mean1.070990562
Median Absolute Deviation (MAD)0.0277531743
Skewness0.5347479929
Sum162.7905655
Variance0.001724040372
MonotonicityDecreasing
Augmented Dickey-Fuller test p-value0.6522798096
2024-03-27T11:53:50.162956image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
2024-03-27T11:53:50.707746image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:53:50.809773image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
1.142495871 19
12.5%
1.124099255 19
12.5%
1.089880824 19
12.5%
1.067744374 19
12.5%
1.052317739 19
12.5%
1.035625339 19
12.5%
1.034374475 19
12.5%
1.021386623 19
12.5%
ValueCountFrequency (%)
1.021386623 19
12.5%
1.034374475 19
12.5%
1.035625339 19
12.5%
1.052317739 19
12.5%
1.067744374 19
12.5%
ValueCountFrequency (%)
1.142495871 19
12.5%
1.124099255 19
12.5%
1.089880824 19
12.5%
1.067744374 19
12.5%
1.052317739 19
12.5%
2024-03-27T11:53:50.323658image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

env_wea_avgtemp_noaa
Real number (ℝ)

Distinct147
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.83904643
Minimum10.61999989
Maximum38.0561409
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:51.000247image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10.61999989
5-th percentile14.71529779
Q120.69305372
median25.18000031
Q328.43673325
95-th percentile34.08892555
Maximum38.0561409
Range27.43614101
Interquartile range (IQR)7.743679523

Descriptive statistics

Standard deviation5.724379168
Coefficient of variation (CV)0.2304588939
Kurtosis-0.2540830371
Mean24.83904643
Median Absolute Deviation (MAD)4.032383919
Skewness-0.0713118934
Sum3775.535058
Variance32.76851686
MonotonicityNot monotonic
2024-03-27T11:53:51.186923image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20.34000015 3
 
2.0%
26.67000008 2
 
1.3%
26.54999924 2
 
1.3%
29.75 2
 
1.3%
38.0561409 1
 
0.7%
26.57999992 1
 
0.7%
27.38137054 1
 
0.7%
32.06999969 1
 
0.7%
28.98999977 1
 
0.7%
30.99729347 1
 
0.7%
Other values (137) 137
90.1%
ValueCountFrequency (%)
10.61999989 1
0.7%
10.77353287 1
0.7%
12.13000011 1
0.7%
12.31000042 1
0.7%
13.02999973 1
0.7%
ValueCountFrequency (%)
38.0561409 1
0.7%
36.93103027 1
0.7%
36.90000153 1
0.7%
36.81999969 1
0.7%
35.54999924 1
0.7%

env_wea_precip_noaa
Real number (ℝ)

Distinct137
Distinct (%)90.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.694544949
Minimum0.5299999714
Maximum5.787826061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:51.377769image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.5299999714
5-th percentile0.7318846017
Q11.00999999
median1.388595939
Q32.23916477
95-th percentile3.491013646
Maximum5.787826061
Range5.25782609
Interquartile range (IQR)1.229164779

Descriptive statistics

Standard deviation0.9201465873
Coefficient of variation (CV)0.5430051222
Kurtosis2.56430334
Mean1.694544949
Median Absolute Deviation (MAD)0.4986289442
Skewness1.437450674
Sum257.5708323
Variance0.8466697421
MonotonicityNot monotonic
2024-03-27T11:53:51.577158image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.340000033 3
 
2.0%
1.00999999 2
 
1.3%
1.24000001 2
 
1.3%
0.8100000024 2
 
1.3%
0.6899999976 2
 
1.3%
1.25 2
 
1.3%
1.149999976 2
 
1.3%
1.919999957 2
 
1.3%
0.8999999762 2
 
1.3%
0.8399999738 2
 
1.3%
Other values (127) 131
86.2%
ValueCountFrequency (%)
0.5299999714 1
0.7%
0.6115537286 1
0.7%
0.6399999857 1
0.7%
0.6631943583 1
0.7%
0.6899999976 2
1.3%
ValueCountFrequency (%)
5.787826061 1
0.7%
4.980000019 1
0.7%
3.900000095 1
0.7%
3.890668392 1
0.7%
3.75999999 1
0.7%

state_abr
Text

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:51.684150image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters304
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowIL
2nd rowIL
3rd rowIL
4th rowIL
5th rowIL
ValueCountFrequency (%)
il 152
100.0%
2024-03-27T11:53:51.955673image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
I 152
50.0%
L 152
50.0%

Most occurring categories

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per category

(unknown)
ValueCountFrequency (%)
I 152
50.0%
L 152
50.0%

Most occurring scripts

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per script

(unknown)
ValueCountFrequency (%)
I 152
50.0%
L 152
50.0%

Most occurring blocks

ValueCountFrequency (%)
(unknown) 304
100.0%

Most frequent character per block

(unknown)
ValueCountFrequency (%)
I 152
50.0%
L 152
50.0%

pit_miss
Real number (ℝ)

Distinct149
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2897.592105
Minimum322
Maximum33747
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:52.154266image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum322
5-th percentile434.6
Q1815.75
median1234.5
Q31811
95-th percentile14190.3
Maximum33747
Range33425
Interquartile range (IQR)995.25

Descriptive statistics

Standard deviation6766.562162
Coefficient of variation (CV)2.335236264
Kurtosis14.60478703
Mean2897.592105
Median Absolute Deviation (MAD)480
Skewness4.01505915
Sum440434
Variance45786363.49
MonotonicityNot monotonic
2024-03-27T11:53:52.351082image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1909 3
 
2.0%
1199 2
 
1.3%
817 1
 
0.7%
938 1
 
0.7%
1641 1
 
0.7%
1844 1
 
0.7%
649 1
 
0.7%
996 1
 
0.7%
657 1
 
0.7%
362 1
 
0.7%
Other values (139) 139
91.4%
ValueCountFrequency (%)
322 1
0.7%
326 1
0.7%
362 1
0.7%
385 1
0.7%
405 1
0.7%
ValueCountFrequency (%)
33747 1
0.7%
33563 1
0.7%
32740 1
0.7%
31571 1
0.7%
31447 1
0.7%

odd_flag
Numeric time series

NON STATIONARY  ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5
Minimum0
Maximum1
Zeros76
Zeros (%)50.0%
Memory size2.4 KiB
2024-03-27T11:53:52.528823image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0.5
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5016528971
Coefficient of variation (CV)1.003305794
Kurtosis-2.026845638
Mean0.5
Median Absolute Deviation (MAD)0.5
Skewness0
Sum76
Variance0.2516556291
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.0757813716
2024-03-27T11:53:52.674920image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
2024-03-27T11:53:53.319644image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:53:53.416732image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
0 76
50.0%
1 76
50.0%
ValueCountFrequency (%)
0 76
50.0%
1 76
50.0%
ValueCountFrequency (%)
1 76
50.0%
0 76
50.0%
2024-03-27T11:53:52.804290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

pit_hless_balance
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum9
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:53.552876image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile9
Maximum9
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9
Median Absolute Deviation (MAD)0
Skewness0
Sum1368
Variance0
MonotonicityIncreasing
2024-03-27T11:53:53.683324image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%

pit_shelt_balance
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum9
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:53.812586image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile9
Maximum9
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9
Median Absolute Deviation (MAD)0
Skewness0
Sum1368
Variance0
MonotonicityIncreasing
2024-03-27T11:53:53.948763image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%

pit_unshelt_balance
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9
Minimum9
Maximum9
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:54.078708image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum9
5-th percentile9
Q19
median9
Q39
95-th percentile9
Maximum9
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean9
Median Absolute Deviation (MAD)0
Skewness0
Sum1368
Variance0
MonotonicityIncreasing
2024-03-27T11:53:54.214625image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%
ValueCountFrequency (%)
9 152
100.0%

unbalance_flag
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:54.343545image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:53:54.478322image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

pit_shelt_pit_hud_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.697162135
Minimum1.906247735
Maximum27.13204193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:54.653456image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.906247735
5-th percentile3.115129924
Q15.398654222
median6.853144407
Q39.404448032
95-th percentile14.6996654
Maximum27.13204193
Range25.2257942
Interquartile range (IQR)4.00579381

Descriptive statistics

Standard deviation3.779770306
Coefficient of variation (CV)0.4910602427
Kurtosis4.063874138
Mean7.697162135
Median Absolute Deviation (MAD)2.014565468
Skewness1.488145973
Sum1169.968644
Variance14.28666356
MonotonicityNot monotonic
2024-03-27T11:53:54.848843image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.441969395 1
 
0.7%
1.906247735 1
 
0.7%
6.290453434 1
 
0.7%
5.835887432 1
 
0.7%
5.852842808 1
 
0.7%
3.393641949 1
 
0.7%
11.08350086 1
 
0.7%
2.851326704 1
 
0.7%
8.394351006 1
 
0.7%
4.261528969 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1.906247735 1
0.7%
2.432015419 1
0.7%
2.813439846 1
0.7%
2.815343142 1
0.7%
2.851326704 1
0.7%
ValueCountFrequency (%)
27.13204193 1
0.7%
18.33611298 1
0.7%
17.3463707 1
0.7%
17.2562561 1
0.7%
15.62971115 1
0.7%

pit_unshelt_pit_hud_share
Real number (ℝ)

ZEROS 

Distinct147
Distinct (%)96.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.416324168
Minimum0
Maximum11.217906
Zeros6
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:55.042816image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.02404679465
Q10.2686233222
median0.6518653333
Q31.700378269
95-th percentile5.344241667
Maximum11.217906
Range11.217906
Interquartile range (IQR)1.431754947

Descriptive statistics

Standard deviation1.949122024
Coefficient of variation (CV)1.376183551
Kurtosis7.444199489
Mean1.416324168
Median Absolute Deviation (MAD)0.4827317968
Skewness2.495962785
Sum215.2812736
Variance3.799076663
MonotonicityNot monotonic
2024-03-27T11:53:55.286450image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.9%
0.9421463609 1
 
0.7%
2.696955919 1
 
0.7%
2.353236198 1
 
0.7%
0.1623524278 1
 
0.7%
0.1378777921 1
 
0.7%
0.812359333 1
 
0.7%
0.2872270048 1
 
0.7%
3.159792662 1
 
0.7%
0.777310133 1
 
0.7%
Other values (137) 137
90.1%
ValueCountFrequency (%)
0 6
3.9%
0.014976562 1
 
0.7%
0.01504395064 1
 
0.7%
0.03141275793 1
 
0.7%
0.04259699956 1
 
0.7%
ValueCountFrequency (%)
11.217906 1
0.7%
10.55649376 1
0.7%
8.299523354 1
0.7%
6.843183517 1
0.7%
6.02558136 1
0.7%

pit_hless_pit_hud_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.113486296
Minimum2.708878279
Maximum27.33681107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:55.479968image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2.708878279
5-th percentile3.301304102
Q15.828633189
median7.748560905
Q311.81897807
95-th percentile18.76827526
Maximum27.33681107
Range24.62793279
Interquartile range (IQR)5.990344882

Descriptive statistics

Standard deviation4.846556913
Coefficient of variation (CV)0.5318005377
Kurtosis1.396799957
Mean9.113486296
Median Absolute Deviation (MAD)2.742228985
Skewness1.179088703
Sum1385.249917
Variance23.48911391
MonotonicityNot monotonic
2024-03-27T11:53:55.675197image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.356340408 1
 
0.7%
2.708878279 1
 
0.7%
6.759891033 1
 
0.7%
6.62655592 1
 
0.7%
11.40164185 1
 
0.7%
3.554732561 1
 
0.7%
11.64020634 1
 
0.7%
3.234340668 1
 
0.7%
19.612257 1
 
0.7%
4.707502842 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
2.708878279 1
0.7%
2.914126873 1
0.7%
3.023129225 1
0.7%
3.027611017 1
0.7%
3.234340668 1
0.7%
ValueCountFrequency (%)
27.33681107 1
0.7%
23.37195206 1
0.7%
22.78754044 1
0.7%
22.43313217 1
0.7%
21.92962265 1
0.7%

missing
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:55.825588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:53:55.961083image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

dem_pop_adult_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean59.36735444
Minimum56.16449738
Maximum63.62725449
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:56.135071image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum56.16449738
5-th percentile57.3771328
Q158.29993057
median59.11091805
Q360.12470913
95-th percentile62.13659267
Maximum63.62725449
Range7.462757111
Interquartile range (IQR)1.824778557

Descriptive statistics

Standard deviation1.541624156
Coefficient of variation (CV)0.02596754007
Kurtosis0.1441339343
Mean59.36735444
Median Absolute Deviation (MAD)0.9431152344
Skewness0.6915362147
Sum9023.837875
Variance2.376605037
MonotonicityNot monotonic
2024-03-27T11:53:56.354577image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57.43193817 1
 
0.7%
57.61508179 1
 
0.7%
58.48582458 1
 
0.7%
59.37168121 1
 
0.7%
59.25053406 1
 
0.7%
60.05157089 1
 
0.7%
58.47482681 1
 
0.7%
58.99494171 1
 
0.7%
59.00732803 1
 
0.7%
58.37551498 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
56.16449738 1
0.7%
56.51564789 1
0.7%
56.72460175 1
0.7%
56.8536644 1
0.7%
57.05794144 1
0.7%
ValueCountFrequency (%)
63.62725449 1
0.7%
63.56742859 1
0.7%
63.28546524 1
0.7%
63.14770508 1
0.7%
62.98598099 1
0.7%

dem_pop_child_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.50705386
Minimum23.44750786
Maximum32.02201462
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:56.564475image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum23.44750786
5-th percentile23.90956631
Q124.93653631
median26.06356907
Q327.62943649
95-th percentile30.60360336
Maximum32.02201462
Range8.57450676
Interquartile range (IQR)2.692900181

Descriptive statistics

Standard deviation2.035537571
Coefficient of variation (CV)0.07679229768
Kurtosis-0.01400857749
Mean26.50705386
Median Absolute Deviation (MAD)1.220223427
Skewness0.8040137972
Sum4029.072187
Variance4.143413203
MonotonicityNot monotonic
2024-03-27T11:53:56.759656image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.58970833 1
 
0.7%
23.88703918 1
 
0.7%
28.88914299 1
 
0.7%
24.26110268 1
 
0.7%
25.9946022 1
 
0.7%
25.47293663 1
 
0.7%
24.86854172 1
 
0.7%
27.8137722 1
 
0.7%
28.27331924 1
 
0.7%
25.01790237 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
23.44750786 1
0.7%
23.4819622 1
0.7%
23.51648712 1
0.7%
23.64662743 1
0.7%
23.70881462 1
0.7%
ValueCountFrequency (%)
32.02201462 1
0.7%
31.80244637 1
0.7%
31.50419235 1
0.7%
31.42441559 1
0.7%
31.2846241 1
0.7%

dem_pop_female_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.67297569
Minimum49.23846054
Maximum52.2525444
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:56.941624image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum49.23846054
5-th percentile49.61372299
Q150.10982323
median50.42355347
Q351.13379669
95-th percentile52.06017532
Maximum52.2525444
Range3.014083862
Interquartile range (IQR)1.023973465

Descriptive statistics

Standard deviation0.7546289854
Coefficient of variation (CV)0.01489213876
Kurtosis-0.6743641212
Mean50.67297569
Median Absolute Deviation (MAD)0.4190330505
Skewness0.4397215518
Sum7702.292305
Variance0.5694649056
MonotonicityNot monotonic
2024-03-27T11:53:57.131834image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50.79588318 1
 
0.7%
50.0073967 1
 
0.7%
50.25696564 1
 
0.7%
51.22214508 1
 
0.7%
51.69390488 1
 
0.7%
50.88487244 1
 
0.7%
51.97604752 1
 
0.7%
50.00631332 1
 
0.7%
52.11976242 1
 
0.7%
50.23352051 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
49.23846054 1
0.7%
49.26358032 1
0.7%
49.29205322 1
0.7%
49.31239319 1
0.7%
49.37517548 1
0.7%
ValueCountFrequency (%)
52.2525444 1
0.7%
52.16539001 1
0.7%
52.16244888 1
0.7%
52.11976242 1
0.7%
52.11141586 1
0.7%

dem_pop_male_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.4932702401
Minimum0.4774745703
Maximum0.5076153874
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:57.323105image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4774745703
5-th percentile0.4793982461
Q10.4886620194
median0.495764479
Q30.4989017546
95-th percentile0.5038627863
Maximum0.5076153874
Range0.03014081717
Interquartile range (IQR)0.01023973525

Descriptive statistics

Standard deviation0.00754628811
Coefficient of variation (CV)0.0152984865
Kurtosis-0.674362347
Mean0.4932702401
Median Absolute Deviation (MAD)0.004190325737
Skewness-0.4397228745
Sum74.9770765
Variance5.694646425 × 10-5
MonotonicityNot monotonic
2024-03-27T11:53:57.515149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4920411706 1
 
0.7%
0.4999260008 1
 
0.7%
0.4974302948 1
 
0.7%
0.4877785146 1
 
0.7%
0.483060956 1
 
0.7%
0.4911513031 1
 
0.7%
0.4802394807 1
 
0.7%
0.4999368787 1
 
0.7%
0.4788023531 1
 
0.7%
0.497664839 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.4774745703 1
0.7%
0.4783461094 1
0.7%
0.4783754647 1
0.7%
0.4788023531 1
0.7%
0.4788858294 1
0.7%
ValueCountFrequency (%)
0.5076153874 1
0.7%
0.5073642135 1
0.7%
0.5070794225 1
0.7%
0.5068760514 1
0.7%
0.5062482357 1
0.7%

dem_pop_mig_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3610976976
Minimum-1.311177135
Maximum0.4314331412
Zeros0
Zeros (%)0.0%
Negative131
Negative (%)86.2%
Memory size2.4 KiB
2024-03-27T11:53:57.707952image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.311177135
5-th percentile-0.8980815709
Q1-0.5886289477
median-0.3631995767
Q3-0.1209466048
95-th percentile0.1344251562
Maximum0.4314331412
Range1.742610276
Interquartile range (IQR)0.467682343

Descriptive statistics

Standard deviation0.3265836713
Coefficient of variation (CV)-0.904419146
Kurtosis-0.1445472805
Mean-0.3610976976
Median Absolute Deviation (MAD)0.2353828251
Skewness-0.07929891388
Sum-54.88685004
Variance0.1066568944
MonotonicityNot monotonic
2024-03-27T11:53:57.979108image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.6855247617 1
 
0.7%
-0.4805750549 1
 
0.7%
-0.1552897096 1
 
0.7%
-0.2179986387 1
 
0.7%
-0.7118424773 1
 
0.7%
-0.6883938313 1
 
0.7%
-0.6032663584 1
 
0.7%
-0.4336569905 1
 
0.7%
-0.02899866924 1
 
0.7%
-0.4529113472 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
-1.311177135 1
0.7%
-1.084538102 1
0.7%
-1.031279564 1
0.7%
-1.019082546 1
0.7%
-1.009808779 1
0.7%
ValueCountFrequency (%)
0.4314331412 1
0.7%
0.4105904102 1
0.7%
0.3312156796 1
0.7%
0.3156254888 1
0.7%
0.2678412199 1
0.7%

dem_pop_senior_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.12559171
Minimum8.806825638
Maximum19.55152893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:58.359286image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum8.806825638
5-th percentile10.03267088
Q111.82555413
median14.05748129
Q316.56060886
95-th percentile18.40020599
Maximum19.55152893
Range10.74470329
Interquartile range (IQR)4.735054731

Descriptive statistics

Standard deviation2.777018954
Coefficient of variation (CV)0.1965948762
Kurtosis-1.130885047
Mean14.12559171
Median Absolute Deviation (MAD)2.424313545
Skewness0.01196178363
Sum2147.08994
Variance7.711834271
MonotonicityNot monotonic
2024-03-27T11:53:58.563880image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16.97835732 1
 
0.7%
18.49787712 1
 
0.7%
12.62503433 1
 
0.7%
16.36721611 1
 
0.7%
14.75486469 1
 
0.7%
14.47549438 1
 
0.7%
16.65662956 1
 
0.7%
13.19128704 1
 
0.7%
12.71934986 1
 
0.7%
16.60658455 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
8.806825638 1
0.7%
9.10131073 1
0.7%
9.176797867 1
0.7%
9.484382629 1
0.7%
9.596746445 1
0.7%
ValueCountFrequency (%)
19.55152893 1
0.7%
19.114151 1
0.7%
19.08731079 1
0.7%
18.92246628 1
0.7%
18.70809746 1
0.7%

dem_age_boom_census_2011
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3054321596
Minimum0.2410179526
Maximum0.3368095756
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:58.732664image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.2410179526
5-th percentile0.2438932285
Q10.2838000953
median0.3133351803
Q30.3234815001
95-th percentile0.3321685821
Maximum0.3368095756
Range0.095791623
Interquartile range (IQR)0.03968140483

Descriptive statistics

Standard deviation0.02614060584
Coefficient of variation (CV)0.08558563668
Kurtosis0.7444957905
Mean0.3054321596
Median Absolute Deviation (MAD)0.01014631987
Skewness-1.287109005
Sum46.42568827
Variance0.0006833312739
MonotonicityNot monotonic
2024-03-27T11:53:58.903887image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.3132528067 8
 
5.3%
0.3368095756 8
 
5.3%
0.304885298 8
 
5.3%
0.2410179526 8
 
5.3%
0.3165750206 8
 
5.3%
0.3276582062 8
 
5.3%
0.2825025618 8
 
5.3%
0.2838000953 8
 
5.3%
0.305398345 8
 
5.3%
0.3229995072 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
0.2410179526 8
5.3%
0.2462457269 8
5.3%
0.2820928097 8
5.3%
0.2825025618 8
5.3%
0.2838000953 8
5.3%
ValueCountFrequency (%)
0.3368095756 8
5.3%
0.3283714056 8
5.3%
0.3276582062 8
5.3%
0.3243623972 8
5.3%
0.3234815001 8
5.3%

dem_soc_asian_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.231370782
Minimum0.4262728095
Maximum11.70441341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:59.087909image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4262728095
5-th percentile0.6073180079
Q11.01309143
median2.173695207
Q34.180146217
95-th percentile10.29896855
Maximum11.70441341
Range11.2781406
Interquartile range (IQR)3.167054787

Descriptive statistics

Standard deviation3.002064434
Coefficient of variation (CV)0.9290374385
Kurtosis0.8387157592
Mean3.231370782
Median Absolute Deviation (MAD)1.256339103
Skewness1.39139285
Sum491.1683589
Variance9.012390867
MonotonicityNot monotonic
2024-03-27T11:53:59.292762image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.293548822 1
 
0.7%
0.5643496513 1
 
0.7%
4.023261547 1
 
0.7%
0.9649922252 1
 
0.7%
1.318789959 1
 
0.7%
11.70441341 1
 
0.7%
1.960109591 1
 
0.7%
7.561406612 1
 
0.7%
1.217944026 1
 
0.7%
0.5423538685 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.4262728095 1
0.7%
0.4346967638 1
0.7%
0.4630993009 1
0.7%
0.4833005965 1
0.7%
0.5035264492 1
0.7%
ValueCountFrequency (%)
11.70441341 1
0.7%
11.45432186 1
0.7%
11.22065449 1
0.7%
10.94931698 1
0.7%
10.67238712 1
0.7%

dem_soc_black_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.552919934
Minimum0.9943085909
Maximum30.36672211
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:59.490724image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.9943085909
5-th percentile1.540413475
Q14.838830471
median8.112382889
Q311.82387185
95-th percentile26.08633785
Maximum30.36672211
Range29.37241352
Interquartile range (IQR)6.98504138

Descriptive statistics

Standard deviation7.097482112
Coefficient of variation (CV)0.742964681
Kurtosis1.947780132
Mean9.552919934
Median Absolute Deviation (MAD)3.317073107
Skewness1.530426693
Sum1452.04383
Variance50.37425233
MonotonicityNot monotonic
2024-03-27T11:53:59.694827image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.347672462 1
 
0.7%
1.77205801 1
 
0.7%
5.325854778 1
 
0.7%
8.430410385 1
 
0.7%
30.14290047 1
 
0.7%
4.849041939 1
 
0.7%
12.62152672 1
 
0.7%
6.83637476 1
 
0.7%
27.94136047 1
 
0.7%
2.292553902 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.9943085909 1
0.7%
1.022092342 1
0.7%
1.109452486 1
0.7%
1.169349194 1
0.7%
1.23977828 1
0.7%
ValueCountFrequency (%)
30.36672211 1
0.7%
30.27972794 1
0.7%
30.2590332 1
0.7%
30.14702415 1
0.7%
30.14290047 1
0.7%

dem_soc_hispanic_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.457476434
Minimum1.551652431
Maximum31.82218361
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:53:59.916391image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.551652431
5-th percentile1.874994183
Q12.928538799
median5.581311464
Q313.55889583
95-th percentile25.81007652
Maximum31.82218361
Range30.27053118
Interquartile range (IQR)10.63035703

Descriptive statistics

Standard deviation8.251297003
Coefficient of variation (CV)0.8724628668
Kurtosis0.4349047274
Mean9.457476434
Median Absolute Deviation (MAD)3.656298161
Skewness1.147469296
Sum1437.536418
Variance68.08390223
MonotonicityNot monotonic
2024-03-27T11:54:00.185622image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.44210124 1
 
0.7%
1.916531444 1
 
0.7%
31.82218361 1
 
0.7%
3.182252884 1
 
0.7%
3.981073141 1
 
0.7%
14.23858452 1
 
0.7%
2.27135849 1
 
0.7%
21.43233109 1
 
0.7%
3.47526145 1
 
0.7%
1.783648133 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1.551652431 1
0.7%
1.643460989 1
0.7%
1.699012518 1
0.7%
1.743290067 1
0.7%
1.783648133 1
0.7%
ValueCountFrequency (%)
31.82218361 1
0.7%
31.49086189 1
0.7%
31.28296661 1
0.7%
31.24061203 1
0.7%
31.08752441 1
0.7%

dem_soc_native_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.001776141222
Minimum0.001028832048
Maximum0.003039756557
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:00.382941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.001028832048
5-th percentile0.001160282589
Q10.001445931499
median0.001808341825
Q30.002068691072
95-th percentile0.002521301201
Maximum0.003039756557
Range0.002010924509
Interquartile range (IQR)0.0006227595732

Descriptive statistics

Standard deviation0.0004259888366
Coefficient of variation (CV)0.2398395079
Kurtosis-0.2965535396
Mean0.001776141222
Median Absolute Deviation (MAD)0.0003070916864
Skewness0.2752900015
Sum0.2699734657
Variance1.814664889 × 10-7
MonotonicityNot monotonic
2024-03-27T11:54:00.605290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.002161473036 1
 
0.7%
0.002024134155 1
 
0.7%
0.001224291278 1
 
0.7%
0.002307999413 1
 
0.7%
0.002360139973 1
 
0.7%
0.001028832048 1
 
0.7%
0.001892798813 1
 
0.7%
0.001576031791 1
 
0.7%
0.002701454796 1
 
0.7%
0.002499931958 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.001028832048 1
0.7%
0.001031128922 1
0.7%
0.001035657711 1
0.7%
0.001045958954 1
0.7%
0.001065418241 1
0.7%
ValueCountFrequency (%)
0.003039756557 1
0.7%
0.002779223491 1
0.7%
0.002721272176 1
0.7%
0.002701454796 1
0.7%
0.002669170965 1
0.7%

dem_soc_pacific_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0003413375148
Minimum0.0001824143692
Maximum0.0008704966167
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:00.810393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.0001824143692
5-th percentile0.0001975479085
Q10.0002374271789
median0.0002864465205
Q30.00037250077
95-th percentile0.0007603925478
Maximum0.0008704966167
Range0.0006880822475
Interquartile range (IQR)0.0001350735911

Descriptive statistics

Standard deviation0.0001664356301
Coefficient of variation (CV)0.4875984119
Kurtosis2.670345917
Mean0.0003413375148
Median Absolute Deviation (MAD)5.911404151 × 10-5
Skewness1.850843195
Sum0.05188330225
Variance2.770081898 × 10-8
MonotonicityNot monotonic
2024-03-27T11:54:01.021337image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0003276498464 1
 
0.7%
0.0002508220787 1
 
0.7%
0.0003041950695 1
 
0.7%
0.0004706360633 1
 
0.7%
0.0008209181833 1
 
0.7%
0.0002373401512 1
 
0.7%
0.0002732918074 1
 
0.7%
0.0004766396887 1
 
0.7%
0.0005494484794 1
 
0.7%
0.0002923607244 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.0001824143692 1
0.7%
0.0001847629756 1
0.7%
0.0001893076842 1
0.7%
0.0001921024086 1
0.7%
0.0001927525009 1
0.7%
ValueCountFrequency (%)
0.0008704966167 1
0.7%
0.0008697583689 1
0.7%
0.000824723742 1
0.7%
0.0008209181833 1
0.7%
0.0008100849809 1
0.7%

dem_soc_racetwo_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.0155053376
Minimum0.007883493789
Maximum0.0262163505
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:01.229502image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.007883493789
5-th percentile0.009546576394
Q10.01265007234
median0.01461914834
Q30.01793488301
95-th percentile0.02370064324
Maximum0.0262163505
Range0.01833285671
Interquartile range (IQR)0.005284810672

Descriptive statistics

Standard deviation0.004166781189
Coefficient of variation (CV)0.2687320519
Kurtosis-0.1287724053
Mean0.0155053376
Median Absolute Deviation (MAD)0.002448110376
Skewness0.6551431368
Sum2.356811315
Variance1.736206547 × 10-5
MonotonicityNot monotonic
2024-03-27T11:54:01.436346image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.01866334118 1
 
0.7%
0.009621534497 1
 
0.7%
0.01327191852 1
 
0.7%
0.01801971346 1
 
0.7%
0.02136667632 1
 
0.7%
0.01586849801 1
 
0.7%
0.02270852402 1
 
0.7%
0.01653627679 1
 
0.7%
0.01340425294 1
 
0.7%
0.008049829863 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.007883493789 1
0.7%
0.008049829863 1
0.7%
0.008194143884 1
0.7%
0.008528193459 1
0.7%
0.008767077699 1
0.7%
ValueCountFrequency (%)
0.0262163505 1
0.7%
0.02568489127 1
0.7%
0.02550759166 1
0.7%
0.02509191073 1
0.7%
0.0248260349 1
0.7%

dem_soc_white_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75.99595135
Minimum42.51733017
Maximum95.5021286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:01.641452image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum42.51733017
5-th percentile51.91194935
Q168.17879486
median79.27138138
Q384.68963242
95-th percentile92.56273117
Maximum95.5021286
Range52.98479843
Interquartile range (IQR)16.51083755

Descriptive statistics

Standard deviation12.52646694
Coefficient of variation (CV)0.1648307142
Kurtosis0.2964327449
Mean75.99595135
Median Absolute Deviation (MAD)8.809417725
Skewness-0.7911204334
Sum11551.38461
Variance156.9123739
MonotonicityNot monotonic
2024-03-27T11:54:01.847723image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
82.80142975 1
 
0.7%
94.55741119 1
 
0.7%
57.3486557 1
 
0.7%
85.34250641 1
 
0.7%
62.10246277 1
 
0.7%
67.49449158 1
 
0.7%
80.6595459 1
 
0.7%
62.31099319 1
 
0.7%
65.69992065 1
 
0.7%
94.29723358 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
42.51733017 1
0.7%
42.78849411 1
0.7%
43.06227875 1
0.7%
43.28857803 1
0.7%
43.48780441 1
0.7%
ValueCountFrequency (%)
95.5021286 1
0.7%
95.30683899 1
0.7%
95.18837738 1
0.7%
95.10179901 1
0.7%
94.87142944 1
0.7%

dem_soc_other_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.762281643
Minimum0.9685365558
Maximum2.829790592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:02.053071image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.9685365558
5-th percentile1.17882151
Q11.449984908
median1.652700782
Q32.037715495
95-th percentile2.603716087
Maximum2.829790592
Range1.861254036
Interquartile range (IQR)0.5877305865

Descriptive statistics

Standard deviation0.4332834689
Coefficient of variation (CV)0.2458650526
Kurtosis-0.2378731529
Mean1.762281643
Median Absolute Deviation (MAD)0.2514349818
Skewness0.6760880713
Sum267.8668098
Variance0.1877345644
MonotonicityNot monotonic
2024-03-27T11:54:02.262791image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.115246534 1
 
0.7%
1.189649105 1
 
0.7%
1.48004055 1
 
0.7%
2.079834938 1
 
0.7%
2.454773426 1
 
0.7%
1.713467002 1
 
0.7%
2.487461567 1
 
0.7%
1.858894944 1
 
0.7%
1.665515661 1
 
0.7%
1.084212184 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
0.9685365558 1
0.7%
1.010554194 1
0.7%
1.048170209 1
0.7%
1.079955816 1
0.7%
1.084212184 1
0.7%
ValueCountFrequency (%)
2.829790592 1
0.7%
2.827010393 1
0.7%
2.766445637 1
0.7%
2.764873981 1
0.7%
2.75254631 1
0.7%

dem_health_mentalhlth_chr_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.001505834299
Minimum3.880447184 × 10-5
Maximum0.006230064202
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:02.612661image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.880447184 × 10-5
5-th percentile0.0002300516455
Q10.0003234329051
median0.000941338425
Q30.001705801929
95-th percentile0.005786266318
Maximum0.006230064202
Range0.00619125973
Interquartile range (IQR)0.001382369024

Descriptive statistics

Standard deviation0.001808722816
Coefficient of variation (CV)1.201143324
Kurtosis2.617712388
Mean0.001505834299
Median Absolute Deviation (MAD)0.000625893008
Skewness1.831856268
Sum0.02861085169
Variance3.271478227 × 10-6
MonotonicityNot monotonic
2024-03-27T11:54:02.775982image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.001153294346 1
 
0.7%
0.005736955442 1
 
0.7%
0.0002856901556 1
 
0.7%
0.00104136765 1
 
0.7%
0.003466360969 1
 
0.7%
0.0003248502908 1
 
0.7%
0.000508286932 1
 
0.7%
0.0003154454171 1
 
0.7%
0.0002513013314 1
 
0.7%
0.000941338425 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
3.880447184 × 10-51
0.7%
0.0002513013314 1
0.7%
0.0002856901556 1
0.7%
0.0003154454171 1
0.7%
0.0003220155195 1
0.7%
ValueCountFrequency (%)
0.006230064202 1
0.7%
0.005736955442 1
0.7%
0.003466360969 1
0.7%
0.002631479176 1
0.7%
0.001764835673 1
0.7%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1505834284
Minimum0.003880447242
Maximum0.6230064034
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:02.933074image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.003880447242
5-th percentile0.015567775
Q10.0322015509
median0.09413383901
Q30.1764835715
95-th percentile0.5958854288
Maximum0.6230064034
Range0.6191259562
Interquartile range (IQR)0.1442820206

Descriptive statistics

Standard deviation0.1766301271
Coefficient of variation (CV)1.17297188
Kurtosis1.774892123
Mean0.1505834284
Median Absolute Deviation (MAD)0.06258929893
Skewness1.700772663
Sum22.88868112
Variance0.03119820181
MonotonicityNot monotonic
2024-03-27T11:54:03.098368image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.04534079507 8
 
5.3%
0.1764835715 8
 
5.3%
0.2631479204 8
 
5.3%
0.1008281261 8
 
5.3%
0.05082869157 8
 
5.3%
0.09413383901 8
 
5.3%
0.03248503059 8
 
5.3%
0.003880447242 8
 
5.3%
0.03154454008 8
 
5.3%
0.3466360867 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
0.003880447242 8
5.3%
0.02513013408 8
5.3%
0.02856901474 8
5.3%
0.03154454008 8
5.3%
0.0322015509 8
5.3%
ValueCountFrequency (%)
0.6230064034 8
5.3%
0.5736955404 8
5.3%
0.3466360867 8
5.3%
0.2631479204 8
5.3%
0.1764835715 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.88399716
Minimum18.36968803
Maximum23.97446632
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:03.250388image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18.36968803
5-th percentile18.57472115
Q120.6135807
median20.75574875
Q321.81205368
95-th percentile23.41795912
Maximum23.97446632
Range5.60477829
Interquartile range (IQR)1.198472977

Descriptive statistics

Standard deviation1.399696358
Coefficient of variation (CV)0.06702243574
Kurtosis-0.1192515522
Mean20.88399716
Median Absolute Deviation (MAD)0.3887462616
Skewness0.1515157064
Sum3174.367569
Variance1.959149894
MonotonicityNot monotonic
2024-03-27T11:54:03.402480image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
18.74247551 8
 
5.3%
20.66430283 8
 
5.3%
20.80221558 8
 
5.3%
21.81205368 8
 
5.3%
20.82058716 8
 
5.3%
20.6135807 8
 
5.3%
20.75574875 8
 
5.3%
22.30405045 8
 
5.3%
19.36571121 8
 
5.3%
20.74180031 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
18.36968803 8
5.3%
18.74247551 8
5.3%
18.81891251 8
5.3%
19.36571121 8
5.3%
20.6135807 8
5.3%
ValueCountFrequency (%)
23.97446632 8
5.3%
22.96263504 8
5.3%
22.42015457 8
5.3%
22.30405045 8
5.3%
21.81205368 8
5.3%
Distinct18
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.018712157
Minimum1.223962426
Maximum3.49842906
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:03.551367image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.223962426
5-th percentile1.294194394
Q11.529999971
median1.91282475
Q32.299999952
95-th percentile3.114293051
Maximum3.49842906
Range2.274466634
Interquartile range (IQR)0.7699999809

Descriptive statistics

Standard deviation0.5465461527
Coefficient of variation (CV)0.2707400116
Kurtosis0.7405875573
Mean2.018712157
Median Absolute Deviation (MAD)0.3871752024
Skewness0.8345399773
Sum306.8442478
Variance0.298712697
MonotonicityNot monotonic
2024-03-27T11:54:03.707900image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
2.299999952 16
 
10.5%
3.49842906 8
 
5.3%
2.073256493 8
 
5.3%
1.875787377 8
 
5.3%
1.690000057 8
 
5.3%
2.24000001 8
 
5.3%
2.420000076 8
 
5.3%
2.799999952 8
 
5.3%
1.351656914 8
 
5.3%
1.91282475 8
 
5.3%
Other values (8) 64
42.1%
ValueCountFrequency (%)
1.223962426 8
5.3%
1.351656914 8
5.3%
1.370000005 8
5.3%
1.519999981 8
5.3%
1.529999971 8
5.3%
ValueCountFrequency (%)
3.49842906 8
5.3%
2.799999952 8
5.3%
2.430000067 8
5.3%
2.420000076 8
5.3%
2.299999952 16
10.5%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean78.99947437
Minimum76.66999817
Maximum81.87000275
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:03.859995image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum76.66999817
5-th percentile76.93950119
Q178.23251343
median78.66999817
Q380.15000153
95-th percentile81.41350174
Maximum81.87000275
Range5.200004578
Interquartile range (IQR)1.917488098

Descriptive statistics

Standard deviation1.388228814
Coefficient of variation (CV)0.01757263355
Kurtosis-0.7437345103
Mean78.99947437
Median Absolute Deviation (MAD)1.220001221
Skewness0.3564188119
Sum12007.9201
Variance1.92717924
MonotonicityNot monotonic
2024-03-27T11:54:04.025241image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
78.23251343 8
 
5.3%
78.82829285 8
 
5.3%
78.2361145 8
 
5.3%
80.25 8
 
5.3%
77.16000366 8
 
5.3%
78.33000183 8
 
5.3%
80.91999817 8
 
5.3%
78.66999817 8
 
5.3%
76.66999817 8
 
5.3%
78.28959656 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
76.66999817 8
5.3%
77.16000366 8
5.3%
77.4125061 8
5.3%
77.69999695 8
5.3%
78.23251343 8
5.3%
ValueCountFrequency (%)
81.87000275 8
5.3%
81.04000092 8
5.3%
80.91999817 8
5.3%
80.25 8
5.3%
80.15000153 8
5.3%

dem_health_ins_acs5yr_2012
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing152
Missing (%)100.0%
Memory size2.4 KiB
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.06637493
Minimum87.41764832
Maximum94.02677155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:04.177564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum87.41764832
5-th percentile88.17126312
Q191.65053558
median92.58811951
Q393.19924927
95-th percentile93.71867218
Maximum94.02677155
Range6.60912323
Interquartile range (IQR)1.548713684

Descriptive statistics

Standard deviation1.611891282
Coefficient of variation (CV)0.01750792603
Kurtosis1.955401933
Mean92.06637493
Median Absolute Deviation (MAD)0.7683486938
Skewness-1.546330109
Sum13994.08899
Variance2.598193506
MonotonicityNot monotonic
2024-03-27T11:54:04.339775image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
91.65053558 8
 
5.3%
92.58917236 8
 
5.3%
93.13827515 8
 
5.3%
93.29000092 8
 
5.3%
93.3564682 8
 
5.3%
94.02677155 8
 
5.3%
88.78785706 8
 
5.3%
87.41764832 8
 
5.3%
90.8423996 8
 
5.3%
91.75048828 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
87.41764832 8
5.3%
88.78785706 8
5.3%
90.8423996 8
5.3%
90.95149994 8
5.3%
91.65053558 8
5.3%
ValueCountFrequency (%)
94.02677155 8
5.3%
93.46659088 8
5.3%
93.3564682 8
5.3%
93.29000092 8
5.3%
93.19924927 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.04179573
Minimum18.11373138
Maximum49.04952621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:04.495191image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18.11373138
5-th percentile19.09630165
Q122.70139694
median27.58971214
Q334.06420517
95-th percentile46.82776489
Maximum49.04952621
Range30.93579483
Interquartile range (IQR)11.36280823

Descriptive statistics

Standard deviation8.691758518
Coefficient of variation (CV)0.2893222028
Kurtosis-0.4762570866
Mean30.04179573
Median Absolute Deviation (MAD)5.983102798
Skewness0.649616904
Sum4566.352951
Variance75.54666614
MonotonicityNot monotonic
2024-03-27T11:54:04.658098image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
22.17614746 8
 
5.3%
19.9637661 8
 
5.3%
26.16964912 8
 
5.3%
45.00996017 8
 
5.3%
25.69106865 8
 
5.3%
34.06420517 8
 
5.3%
33.57281494 8
 
5.3%
36.43923569 8
 
5.3%
26.42446136 8
 
5.3%
18.11373138 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
18.11373138 8
5.3%
19.90022278 8
5.3%
19.9637661 8
5.3%
22.17614746 8
5.3%
22.70139694 8
5.3%
ValueCountFrequency (%)
49.04952621 8
5.3%
45.00996017 8
5.3%
43.55412292 8
5.3%
36.43923569 8
5.3%
34.06420517 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.46464458
Minimum19.27613831
Maximum50.22605515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:04.815180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum19.27613831
5-th percentile19.94075241
Q123.61891174
median29.56825447
Q336.21389008
95-th percentile48.203895
Maximum50.22605515
Range30.94991684
Interquartile range (IQR)12.59497833

Descriptive statistics

Standard deviation8.84537548
Coefficient of variation (CV)0.2811210995
Kurtosis-0.5808034111
Mean31.46464458
Median Absolute Deviation (MAD)5.949342728
Skewness0.5720216862
Sum4782.625977
Variance78.24066738
MonotonicityNot monotonic
2024-03-27T11:54:04.973496image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
23.34812927 8
 
5.3%
20.48452759 8
 
5.3%
28.05414581 8
 
5.3%
46.54940033 8
 
5.3%
27.82268143 8
 
5.3%
36.21389008 8
 
5.3%
33.24574661 8
 
5.3%
39.01215363 8
 
5.3%
27.88280487 8
 
5.3%
19.27613831 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
19.27613831 8
5.3%
20.48452759 8
5.3%
20.72152901 8
5.3%
23.34812927 8
5.3%
23.61891174 8
5.3%
ValueCountFrequency (%)
50.22605515 8
5.3%
46.54940033 8
5.3%
45.12101364 8
5.3%
39.01215363 8
5.3%
36.21389008 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.422849065
Minimum-0.3270715475
Maximum2.572920799
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)5.3%
Memory size2.4 KiB
2024-03-27T11:54:05.122251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3270715475
5-th percentile0.1392365247
Q11.162405252
median1.458343863
Q31.978543401
95-th percentile2.34014014
Maximum2.572920799
Range2.899992347
Interquartile range (IQR)0.8161381483

Descriptive statistics

Standard deviation0.6812332619
Coefficient of variation (CV)0.4787811149
Kurtosis0.3520601766
Mean1.422849065
Median Absolute Deviation (MAD)0.4480675459
Skewness-0.669443628
Sum216.2730579
Variance0.4640787571
MonotonicityNot monotonic
2024-03-27T11:54:05.270054image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.171980858 8
 
5.3%
0.5207613111 8
 
5.3%
1.884496212 8
 
5.3%
1.539441943 8
 
5.3%
2.131614208 8
 
5.3%
2.149683237 8
 
5.3%
-0.3270715475 8
 
5.3%
2.572920799 8
 
5.3%
1.458343863 8
 
5.3%
1.162405252 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.3270715475 8
5.3%
0.5207613111 8
5.3%
0.6047829986 8
5.3%
0.8213073015 8
5.3%
1.162405252 8
5.3%
ValueCountFrequency (%)
2.572920799 8
5.3%
2.149683237 8
5.3%
2.131614208 8
5.3%
2.109873295 8
5.3%
1.978543401 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32.95359451
Minimum26.34528542
Maximum38.67551804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:05.428453image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum26.34528542
5-th percentile26.36760063
Q128.66892242
median33.66880035
Q336.32542038
95-th percentile38.35245724
Maximum38.67551804
Range12.33023262
Interquartile range (IQR)7.656497955

Descriptive statistics

Standard deviation3.922366377
Coefficient of variation (CV)0.1190269661
Kurtosis-1.052916784
Mean32.95359451
Median Absolute Deviation (MAD)2.656620026
Skewness-0.4589449469
Sum5008.946365
Variance15.384958
MonotonicityNot monotonic
2024-03-27T11:54:05.594991image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
31.65209007 8
 
5.3%
36.32542038 8
 
5.3%
32.96217728 8
 
5.3%
28.66892242 8
 
5.3%
36.43442535 8
 
5.3%
33.66880035 8
 
5.3%
27.71100616 8
 
5.3%
26.34528542 8
 
5.3%
38.08813477 8
 
5.3%
36.18358612 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
26.34528542 8
5.3%
26.38585854 8
5.3%
26.84860611 8
5.3%
27.71100616 8
5.3%
28.66892242 8
5.3%
ValueCountFrequency (%)
38.67551804 8
5.3%
38.08813477 8
5.3%
36.43442535 8
5.3%
36.33563232 8
5.3%
36.32542038 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33.44433714
Minimum25.61978149
Maximum39.45637894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:05.754984image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum25.61978149
5-th percentile26.01629934
Q129.26347542
median34.05742264
Q337.81085205
95-th percentile39.0598999
Maximum39.45637894
Range13.83659744
Interquartile range (IQR)8.547376633

Descriptive statistics

Standard deviation4.300535561
Coefficient of variation (CV)0.1285878546
Kurtosis-0.9927416154
Mean33.44433714
Median Absolute Deviation (MAD)3.753429413
Skewness-0.4285173095
Sum5083.539246
Variance18.49460611
MonotonicityNot monotonic
2024-03-27T11:54:05.916425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
34.05742264 8
 
5.3%
38.02954865 8
 
5.3%
33.03383636 8
 
5.3%
29.26347542 8
 
5.3%
37.81085205 8
 
5.3%
31.78618622 8
 
5.3%
28.54765129 8
 
5.3%
26.34072304 8
 
5.3%
38.29223633 8
 
5.3%
36.35419464 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
25.61978149 8
5.3%
26.34072304 8
5.3%
26.69413948 8
5.3%
28.54765129 8
5.3%
29.26347542 8
5.3%
ValueCountFrequency (%)
39.45637894 8
5.3%
38.73550797 8
5.3%
38.29223633 8
5.3%
38.02954865 8
5.3%
37.81085205 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.81210699
Minimum17.2563591
Maximum36.68211746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:06.078704image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum17.2563591
5-th percentile18.44643927
Q123.21832275
median27.09479332
Q332.27416992
95-th percentile36.07321377
Maximum36.68211746
Range19.42575836
Interquartile range (IQR)9.055847168

Descriptive statistics

Standard deviation5.517625899
Coefficient of variation (CV)0.1983893526
Kurtosis-0.9749973498
Mean27.81210699
Median Absolute Deviation (MAD)4.741495132
Skewness-0.1886266795
Sum4227.440262
Variance30.44419557
MonotonicityNot monotonic
2024-03-27T11:54:06.246618image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
33.66849899 8
 
5.3%
34.15045929 8
 
5.3%
32.04850388 8
 
5.3%
20.57405281 8
 
5.3%
30.81472588 8
 
5.3%
25.44342041 8
 
5.3%
22.35329819 8
 
5.3%
23.21832275 8
 
5.3%
27.09479332 8
 
5.3%
36.68211746 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
17.2563591 8
5.3%
19.42014122 8
5.3%
20.57405281 8
5.3%
22.35329819 8
5.3%
23.21832275 8
5.3%
ValueCountFrequency (%)
36.68211746 8
5.3%
35.57501984 8
5.3%
34.15045929 8
5.3%
33.66849899 8
5.3%
32.27416992 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.65364466
Minimum16.50304413
Maximum35.32375717
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:06.411740image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum16.50304413
5-th percentile18.16807795
Q122.30625725
median25.98875999
Q331.12556839
95-th percentile34.85447884
Maximum35.32375717
Range18.82071304
Interquartile range (IQR)8.819311142

Descriptive statistics

Standard deviation5.221331314
Coefficient of variation (CV)0.195895585
Kurtosis-0.9398178173
Mean26.65364466
Median Absolute Deviation (MAD)4.449495316
Skewness-0.1314330196
Sum4051.353989
Variance27.26230069
MonotonicityNot monotonic
2024-03-27T11:54:06.591340image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
31.12556839 8
 
5.3%
32.41282272 8
 
5.3%
30.96416664 8
 
5.3%
19.70129395 8
 
5.3%
28.856987 8
 
5.3%
25.31609535 8
 
5.3%
21.55920029 8
 
5.3%
22.30625725 8
 
5.3%
25.98875999 8
 
5.3%
35.32375717 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
16.50304413 8
5.3%
19.53037834 8
5.3%
19.70129395 8
5.3%
21.55920029 8
5.3%
22.30625725 8
5.3%
ValueCountFrequency (%)
35.32375717 8
5.3%
34.47052383 8
5.3%
32.41282272 8
5.3%
31.27508163 8
5.3%
31.12556839 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.192502975
Minimum5.747063637
Maximum16.36287689
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:06.771080image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.747063637
5-th percentile6.335098481
Q17.059779644
median8.819673538
Q310.29223919
95-th percentile15.061731
Maximum16.36287689
Range10.61581326
Interquartile range (IQR)3.232459545

Descriptive statistics

Standard deviation2.64204393
Coefficient of variation (CV)0.2874128991
Kurtosis0.99673798
Mean9.192502975
Median Absolute Deviation (MAD)1.751330853
Skewness1.208049947
Sum1397.260452
Variance6.980396129
MonotonicityNot monotonic
2024-03-27T11:54:06.941803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
12.50326061 8
 
5.3%
9.560351372 8
 
5.3%
8.819673538 8
 
5.3%
5.747063637 8
 
5.3%
7.059779644 8
 
5.3%
6.823574066 8
 
5.3%
16.36287689 8
 
5.3%
13.9971571 8
 
5.3%
8.392611504 8
 
5.3%
9.020565033 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
5.747063637 8
5.3%
6.816217899 8
5.3%
6.823574066 8
5.3%
6.845509052 8
5.3%
7.059779644 8
5.3%
ValueCountFrequency (%)
16.36287689 8
5.3%
13.9971571 8
5.3%
12.50326061 8
5.3%
10.63987923 8
5.3%
10.29223919 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.437373839
Minimum4.485832691
Maximum16.64740372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:07.092135image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.485832691
5-th percentile5.048837137
Q16.576759338
median7.836200237
Q39.383833885
95-th percentile14.2788075
Maximum16.64740372
Range12.16157103
Interquartile range (IQR)2.807074547

Descriptive statistics

Standard deviation2.720721279
Coefficient of variation (CV)0.3224606769
Kurtosis2.22753114
Mean8.437373839
Median Absolute Deviation (MAD)1.259440899
Skewness1.385830499
Sum1282.480824
Variance7.402324278
MonotonicityNot monotonic
2024-03-27T11:54:07.253534image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
11.46887875 8
 
5.3%
9.073103905 8
 
5.3%
7.947852612 8
 
5.3%
4.485832691 8
 
5.3%
5.509477139 8
 
5.3%
6.683828831 8
 
5.3%
16.64740372 8
 
5.3%
12.34086514 8
 
5.3%
7.836200237 8
 
5.3%
9.045909882 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
4.485832691 8
5.3%
5.509477139 8
5.3%
6.020905018 8
5.3%
6.494504929 8
5.3%
6.576759338 8
5.3%
ValueCountFrequency (%)
16.64740372 8
5.3%
12.34086514 8
5.3%
11.46887875 8
5.3%
9.728827477 8
5.3%
9.383833885 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.7551291114
Minimum-1.656291604
Maximum0.2845272422
Zeros0
Zeros (%)0.0%
Negative136
Negative (%)89.5%
Memory size2.4 KiB
2024-03-27T11:54:07.406304image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.656291604
5-th percentile-1.597997665
Q1-1.066701174
median-0.8718215227
Q3-0.3217130899
95-th percentile0.141976811
Maximum0.2845272422
Range1.940818846
Interquartile range (IQR)0.7449880838

Descriptive statistics

Standard deviation0.5233441963
Coefficient of variation (CV)-0.693052603
Kurtosis-0.7489670712
Mean-0.7551291114
Median Absolute Deviation (MAD)0.3894094229
Skewness0.1189922354
Sum-114.7796249
Variance0.2738891478
MonotonicityNot monotonic
2024-03-27T11:54:07.579488image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.03438127 8
 
5.3%
-0.4872478545 8
 
5.3%
-0.8718215227 8
 
5.3%
-1.261230946 8
 
5.3%
-1.550302625 8
 
5.3%
-0.1397453249 8
 
5.3%
0.2845272422 8
 
5.3%
-1.656291604 8
 
5.3%
-0.556411624 8
 
5.3%
0.02534464002 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-1.656291604 8
5.3%
-1.550302625 8
5.3%
-1.431840658 8
5.3%
-1.261230946 8
5.3%
-1.066701174 8
5.3%
ValueCountFrequency (%)
0.2845272422 8
5.3%
0.02534464002 8
5.3%
-0.1397453249 8
5.3%
-0.2687498927 8
5.3%
-0.3217130899 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.77912737
Minimum14.11946678
Maximum39.6139946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:07.755407image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum14.11946678
5-th percentile14.81138377
Q118.96032333
median24.12123489
Q329.18707466
95-th percentile34.81205425
Maximum39.6139946
Range25.49452782
Interquartile range (IQR)10.22675133

Descriptive statistics

Standard deviation6.387879411
Coefficient of variation (CV)0.2686338868
Kurtosis-0.05787918043
Mean23.77912737
Median Absolute Deviation (MAD)5.150299072
Skewness0.502517537
Sum3614.427361
Variance40.80500337
MonotonicityNot monotonic
2024-03-27T11:54:07.926058image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
29.58310318 8
 
5.3%
22.45177841 8
 
5.3%
24.12123489 8
 
5.3%
27.49483299 8
 
5.3%
24.74855995 8
 
5.3%
29.18707466 8
 
5.3%
18.97093582 8
 
5.3%
30.88319397 8
 
5.3%
39.6139946 8
 
5.3%
19.0580864 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
14.11946678 8
5.3%
15.37749767 8
5.3%
16.42944145 8
5.3%
16.48882103 8
5.3%
18.96032333 8
5.3%
ValueCountFrequency (%)
39.6139946 8
5.3%
30.88319397 8
5.3%
30.52497864 8
5.3%
29.58310318 8
5.3%
29.18707466 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.4995468
Minimum13.4151268
Maximum35.72623825
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:08.086921image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum13.4151268
5-th percentile14.10877366
Q118.91366768
median24.05142593
Q330.13575745
95-th percentile34.93242626
Maximum35.72623825
Range22.31111145
Interquartile range (IQR)11.22208977

Descriptive statistics

Standard deviation6.244476289
Coefficient of variation (CV)0.254881298
Kurtosis-0.8474294964
Mean24.4995468
Median Absolute Deviation (MAD)5.453962326
Skewness0.04704074052
Sum3723.931114
Variance38.99348413
MonotonicityNot monotonic
2024-03-27T11:54:08.274380image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
31.09554863 8
 
5.3%
23.96589851 8
 
5.3%
24.05142593 8
 
5.3%
29.67274475 8
 
5.3%
25.26603889 8
 
5.3%
34.28294373 8
 
5.3%
18.91366768 8
 
5.3%
30.13575745 8
 
5.3%
35.72623825 8
 
5.3%
21.21546745 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
13.4151268 8
5.3%
14.67630291 8
5.3%
17.24326897 8
5.3%
18.59746361 8
5.3%
18.91366768 8
5.3%
ValueCountFrequency (%)
35.72623825 8
5.3%
34.28294373 8
5.3%
31.78947258 8
5.3%
31.09554863 8
5.3%
30.13575745 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7204195951
Minimum-3.887757778
Maximum5.095869064
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)36.8%
Memory size2.4 KiB
2024-03-27T11:54:08.426501image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.887757778
5-th percentile-2.160580957
Q1-0.3665298223
median0.5174800754
Q32.157381058
95-th percentile3.767084074
Maximum5.095869064
Range8.983626842
Interquartile range (IQR)2.52391088

Descriptive statistics

Standard deviation1.802681988
Coefficient of variation (CV)2.502266735
Kurtosis1.436735592
Mean0.7204195951
Median Absolute Deviation (MAD)0.9966388345
Skewness-0.07229003984
Sum109.5037785
Variance3.249662349
MonotonicityNot monotonic
2024-03-27T11:54:08.577090image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.512447 8
 
5.3%
1.51411891 8
 
5.3%
-0.06980895996 8
 
5.3%
2.177911997 8
 
5.3%
0.5174800754 8
 
5.3%
5.095869064 8
 
5.3%
-0.05726665258 8
 
5.3%
-0.747436285 8
 
5.3%
-3.887757778 8
 
5.3%
2.157381058 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-3.887757778 8
5.3%
-0.747436285 8
5.3%
-0.7043406367 8
5.3%
-0.7011950016 8
5.3%
-0.3665298223 8
5.3%
ValueCountFrequency (%)
5.095869064 8
5.3%
2.679896355 8
5.3%
2.177911997 8
5.3%
2.168022156 8
5.3%
2.157381058 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.1411704
Minimum18.85474205
Maximum33.11344528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:08.716064image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18.85474205
5-th percentile19.33886118
Q124.40093994
median28.40815163
Q329.4996891
95-th percentile33.06150723
Maximum33.11344528
Range14.25870323
Interquartile range (IQR)5.098749161

Descriptive statistics

Standard deviation4.275397208
Coefficient of variation (CV)0.157524423
Kurtosis-0.7066906947
Mean27.1411704
Median Absolute Deviation (MAD)2.96288681
Skewness-0.5545575066
Sum4125.457901
Variance18.27902128
MonotonicityNot monotonic
2024-03-27T11:54:08.867895image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
26.95151901 8
 
5.3%
29.13119125 8
 
5.3%
28.12788391 8
 
5.3%
33.01901245 8
 
5.3%
26.67521858 8
 
5.3%
31.81674767 8
 
5.3%
20.40193939 8
 
5.3%
31.85591316 8
 
5.3%
28.52808762 8
 
5.3%
28.40815163 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
18.85474205 8
5.3%
19.73495865 8
5.3%
20.40193939 8
5.3%
21.66853523 8
5.3%
24.40093994 8
5.3%
ValueCountFrequency (%)
33.11344528 8
5.3%
33.01901245 8
5.3%
31.85591316 8
5.3%
31.81674767 8
5.3%
29.4996891 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean28.02670449
Minimum20.0315094
Maximum34.27065659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:09.189860image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum20.0315094
5-th percentile20.30599012
Q125.10096169
median28.29422951
Q330.65580368
95-th percentile33.75471897
Maximum34.27065659
Range14.23914719
Interquartile range (IQR)5.554841995

Descriptive statistics

Standard deviation4.288284285
Coefficient of variation (CV)0.1530070825
Kurtosis-0.7177396085
Mean28.02670449
Median Absolute Deviation (MAD)2.361574173
Skewness-0.6145243986
Sum4260.059082
Variance18.38938211
MonotonicityNot monotonic
2024-03-27T11:54:09.345222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
27.95596504 8
 
5.3%
30.19231796 8
 
5.3%
28.29422951 8
 
5.3%
34.27065659 8
 
5.3%
28.03652 8
 
5.3%
32.55858612 8
 
5.3%
20.92068863 8
 
5.3%
32.36442184 8
 
5.3%
29.75689507 8
 
5.3%
28.1886673 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
20.0315094 8
5.3%
20.53056526 8
5.3%
20.92068863 8
5.3%
22.05149651 8
5.3%
25.10096169 8
5.3%
ValueCountFrequency (%)
34.27065659 8
5.3%
33.3325882 8
5.3%
32.55858612 8
5.3%
32.36442184 8
5.3%
30.65580368 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8855338253
Minimum-0.2194851637
Maximum2.148601532
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)5.3%
Memory size2.4 KiB
2024-03-27T11:54:09.505384image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2194851637
5-th percentile-0.007278770208
Q10.5085080862
median1.004445553
Q31.228806376
95-th percentile1.752439046
Maximum2.148601532
Range2.368086696
Interquartile range (IQR)0.7202982903

Descriptive statistics

Standard deviation0.5369187391
Coefficient of variation (CV)0.6063221118
Kurtosis0.1217044539
Mean0.8855338253
Median Absolute Deviation (MAD)0.3044247627
Skewness0.06798993853
Sum134.6011415
Variance0.2882817324
MonotonicityNot monotonic
2024-03-27T11:54:09.653630image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.004445553 8
 
5.3%
1.06112659 8
 
5.3%
0.1663446426 8
 
5.3%
1.251643896 8
 
5.3%
1.361301541 8
 
5.3%
0.7418394089 8
 
5.3%
0.5187481642 8
 
5.3%
0.5085080862 8
 
5.3%
1.228806376 8
 
5.3%
-0.2194851637 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.2194851637 8
5.3%
0.1663446426 8
5.3%
0.2191454172 8
5.3%
0.3829613328 8
5.3%
0.5085080862 8
5.3%
ValueCountFrequency (%)
2.148601532 8
5.3%
1.428306103 8
5.3%
1.361301541 8
5.3%
1.251643896 8
5.3%
1.228806376 8
5.3%

dem_soc_vet_acs5yr_2012
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.00462635
Minimum6.686408043
Maximum16.57325554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:09.800151image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6.686408043
5-th percentile7.091494727
Q18.393088341
median11.59370136
Q313.00514317
95-th percentile14.99518466
Maximum16.57325554
Range9.886847496
Interquartile range (IQR)4.612054825

Descriptive statistics

Standard deviation2.525370619
Coefficient of variation (CV)0.229482632
Kurtosis-0.5876101478
Mean11.00462635
Median Absolute Deviation (MAD)1.607615471
Skewness0.08228783368
Sum1672.703205
Variance6.377496762
MonotonicityNot monotonic
2024-03-27T11:54:09.952187image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
11.1653347 8
 
5.3%
12.76496315 8
 
5.3%
11.59370136 8
 
5.3%
9.680685043 8
 
5.3%
13.70403576 8
 
5.3%
11.96944618 8
 
5.3%
7.841178894 8
 
5.3%
6.686408043 8
 
5.3%
16.57325554 8
 
5.3%
13.20131683 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
6.686408043 8
5.3%
7.422929287 8
5.3%
7.841178894 8
5.3%
8.222202301 8
5.3%
8.393088341 8
5.3%
ValueCountFrequency (%)
16.57325554 8
5.3%
13.70403576 8
5.3%
13.20131683 8
5.3%
13.14631557 8
5.3%
13.00514317 8
5.3%

dem_soc_vet_acs5yr_2017
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.340582396
Minimum5.076903343
Maximum14.88786602
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:10.102914image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.076903343
5-th percentile5.479068446
Q17.323399067
median9.876479149
Q311.03761482
95-th percentile13.20371184
Maximum14.88786602
Range9.810962677
Interquartile range (IQR)3.714215755

Descriptive statistics

Standard deviation2.364627908
Coefficient of variation (CV)0.2531563673
Kurtosis-0.1720396665
Mean9.340582396
Median Absolute Deviation (MAD)1.275168419
Skewness0.1486580338
Sum1419.768524
Variance5.591465143
MonotonicityNot monotonic
2024-03-27T11:54:10.255251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
9.429815292 8
 
5.3%
10.65235424 8
 
5.3%
9.876479149 8
 
5.3%
8.224589348 8
 
5.3%
11.82576752 8
 
5.3%
10.26008797 8
 
5.3%
6.523372173 8
 
5.3%
5.076903343 8
 
5.3%
14.88786602 8
 
5.3%
11.03761482 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
5.076903343 8
5.3%
5.808112621 8
5.3%
6.523372173 8
5.3%
6.910561562 8
5.3%
7.323399067 8
5.3%
ValueCountFrequency (%)
14.88786602 8
5.3%
11.82576752 8
5.3%
11.15164757 8
5.3%
11.10305691 8
5.3%
11.03761482 8
5.3%

dem_soc_vet_acs5yr_diff
Real number (ℝ)

Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.664043922
Minimum-2.16370225
Maximum-1.069689512
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)100.0%
Memory size2.4 KiB
2024-03-27T11:54:10.405961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.16370225
5-th percentile-2.148758256
Q1-1.878268957
median-1.685388327
Q3-1.456095219
95-th percentile-1.202762556
Maximum-1.069689512
Range1.094012737
Interquartile range (IQR)0.4221737385

Descriptive statistics

Standard deviation0.2869728902
Coefficient of variation (CV)-0.1724551176
Kurtosis-0.4217750435
Mean-1.664043922
Median Absolute Deviation (MAD)0.1928806305
Skewness-0.01392900694
Sum-252.9346762
Variance0.08235343972
MonotonicityNot monotonic
2024-03-27T11:54:10.558546image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.735519648 8
 
5.3%
-2.112609148 8
 
5.3%
-1.717222452 8
 
5.3%
-1.456095219 8
 
5.3%
-1.878268957 8
 
5.3%
-1.709358454 8
 
5.3%
-1.317806482 8
 
5.3%
-1.60950458 8
 
5.3%
-1.685388327 8
 
5.3%
-2.16370225 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-2.16370225 8
5.3%
-2.136531353 8
5.3%
-2.112609148 8
5.3%
-1.902086258 8
5.3%
-1.878268957 8
5.3%
ValueCountFrequency (%)
-1.069689512 8
5.3%
-1.311640501 8
5.3%
-1.317806482 8
5.3%
-1.349519253 8
5.3%
-1.456095219 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.73705733
Minimum38.05959702
Maximum49.11999893
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:10.715117image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum38.05959702
5-th percentile38.69781933
Q142.33164597
median43.43966675
Q344.69000244
95-th percentile49.09799843
Maximum49.11999893
Range11.06040192
Interquartile range (IQR)2.358356476

Descriptive statistics

Standard deviation2.70497921
Coefficient of variation (CV)0.06184639239
Kurtosis0.3154808508
Mean43.73705733
Median Absolute Deviation (MAD)1.108020782
Skewness0.1827851114
Sum6648.032715
Variance7.316912526
MonotonicityNot monotonic
2024-03-27T11:54:10.868149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
44.41948318 8
 
5.3%
41.98192215 8
 
5.3%
42.33164597 8
 
5.3%
49.11999893 8
 
5.3%
43.34999847 8
 
5.3%
43.68999863 8
 
5.3%
42.29999924 8
 
5.3%
49.07999802 8
 
5.3%
44.69000244 8
 
5.3%
42.56671143 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
38.05959702 8
5.3%
39.22000122 8
5.3%
41.98192215 8
5.3%
42.29999924 8
5.3%
42.33164597 8
5.3%
ValueCountFrequency (%)
49.11999893 8
5.3%
49.07999802 8
5.3%
47.09999847 8
5.3%
45.79999924 8
5.3%
44.69000244 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean44.82776461
Minimum40.04000092
Maximum50.48000336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:11.034475image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum40.04000092
5-th percentile40.09319992
Q143.2021904
median44.17000198
Q346.59999847
95-th percentile50.21600151
Maximum50.48000336
Range10.44000244
Interquartile range (IQR)3.397808075

Descriptive statistics

Standard deviation2.790344905
Coefficient of variation (CV)0.06224590785
Kurtosis-0.2811223185
Mean44.82776461
Median Absolute Deviation (MAD)1.45999527
Skewness0.3917768073
Sum6813.820221
Variance7.786024691
MonotonicityNot monotonic
2024-03-27T11:54:11.196919image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
44.6666069 8
 
5.3%
42.67617798 8
 
5.3%
43.24797821 8
 
5.3%
50 8
 
5.3%
43.95999908 8
 
5.3%
45.64999771 8
 
5.3%
44.17000198 8
 
5.3%
50.48000336 8
 
5.3%
47.81999969 8
 
5.3%
43.2021904 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
40.04000092 8
5.3%
40.13672638 8
5.3%
42.67617798 8
5.3%
43.11000061 8
5.3%
43.2021904 8
5.3%
ValueCountFrequency (%)
50.48000336 8
5.3%
50 8
5.3%
48.43999863 8
5.3%
47.81999969 8
5.3%
46.59999847 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.090707578
Minimum0.1916974783
Maximum3.12999773
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:11.342045image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1916974783
5-th percentile0.2221819758
Q10.6099998951
median0.8799999952
Q31.400002837
95-th percentile2.550920129
Maximum3.12999773
Range2.938300252
Interquartile range (IQR)0.7900029421

Descriptive statistics

Standard deviation0.7193726341
Coefficient of variation (CV)0.6595467461
Kurtosis1.21846058
Mean1.090707578
Median Absolute Deviation (MAD)0.3799974918
Skewness1.223804715
Sum165.7875519
Variance0.5174969867
MonotonicityNot monotonic
2024-03-27T11:54:11.490011image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.2471238375 8
 
5.3%
0.694257021 8
 
5.3%
0.9163320065 8
 
5.3%
0.8799999952 8
 
5.3%
0.6099998951 8
 
5.3%
1.960000396 8
 
5.3%
1.870000362 8
 
5.3%
1.400002837 8
 
5.3%
3.12999773 8
 
5.3%
0.6354808807 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
0.1916974783 8
5.3%
0.2471238375 8
5.3%
0.4444211721 8
5.3%
0.5000025034 8
5.3%
0.6099998951 8
5.3%
ValueCountFrequency (%)
3.12999773 8
5.3%
2.077129364 8
5.3%
1.960000396 8
5.3%
1.870000362 8
5.3%
1.400002837 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.63381115
Minimum95.21002197
Maximum97.75991821
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:11.640179image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum95.21002197
5-th percentile95.34071159
Q196.04030609
median96.96514893
Q397.26039886
95-th percentile97.58563042
Maximum97.75991821
Range2.54989624
Interquartile range (IQR)1.220092773

Descriptive statistics

Standard deviation0.737513306
Coefficient of variation (CV)0.007632042008
Kurtosis-0.9874178604
Mean96.63381115
Median Absolute Deviation (MAD)0.4778823853
Skewness-0.4510674017
Sum14688.33929
Variance0.5439258766
MonotonicityNot monotonic
2024-03-27T11:54:11.800275image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
95.61672974 8
 
5.3%
96.58608246 8
 
5.3%
97.44005585 8
 
5.3%
97.44303131 8
 
5.3%
97.12585449 8
 
5.3%
97.31339264 8
 
5.3%
96.3804245 8
 
5.3%
95.21002197 8
 
5.3%
96.37253571 8
 
5.3%
97.75991821 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
95.21002197 8
5.3%
95.44763947 8
5.3%
95.61672974 8
5.3%
95.67668915 8
5.3%
96.04030609 8
5.3%
ValueCountFrequency (%)
97.75991821 8
5.3%
97.44303131 8
5.3%
97.44005585 8
5.3%
97.31339264 8
5.3%
97.26039886 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean96.82493792
Minimum95.67182159
Maximum97.95176697
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:11.951674image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum95.67182159
5-th percentile95.74963112
Q196.33999634
median96.73342133
Q397.27612305
95-th percentile97.92181473
Maximum97.95176697
Range2.279945374
Interquartile range (IQR)0.936126709

Descriptive statistics

Standard deviation0.6501341264
Coefficient of variation (CV)0.006714531817
Kurtosis-0.8310823035
Mean96.82493792
Median Absolute Deviation (MAD)0.4666900635
Skewness0.1795327612
Sum14717.39056
Variance0.4226743823
MonotonicityNot monotonic
2024-03-27T11:54:12.121420image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
96.43889618 8
 
5.3%
97.02664948 8
 
5.3%
97.75691223 8
 
5.3%
97.27612305 8
 
5.3%
97.23512268 8
 
5.3%
97.89730835 8
 
5.3%
96.26673126 8
 
5.3%
95.81329346 8
 
5.3%
95.67182159 8
 
5.3%
97.58931732 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
95.67182159 8
5.3%
95.81329346 8
5.3%
96.25436401 8
5.3%
96.26673126 8
5.3%
96.33999634 8
5.3%
ValueCountFrequency (%)
97.95176697 8
5.3%
97.89730835 8
5.3%
97.75691223 8
5.3%
97.58931732 8
5.3%
97.27612305 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1911263717
Minimum-0.7033884525
Maximum1.035284996
Zeros0
Zeros (%)0.0%
Negative64
Negative (%)42.1%
Memory size2.4 KiB
2024-03-27T11:54:12.286532image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.7033884525
5-th percentile-0.7019165158
Q1-0.231730938
median0.3168523312
Q30.6913721561
95-th percentile0.918070972
Maximum1.035284996
Range1.738673449
Interquartile range (IQR)0.9231030941

Descriptive statistics

Standard deviation0.5430999733
Coefficient of variation (CV)2.841575281
Kurtosis-1.306394852
Mean0.1911263717
Median Absolute Deviation (MAD)0.4389464855
Skewness-0.2378552699
Sum29.0512085
Variance0.294957581
MonotonicityNot monotonic
2024-03-27T11:54:12.454222image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.8221685886 8
 
5.3%
0.4405677319 8
 
5.3%
0.3168523312 8
 
5.3%
-0.1669108868 8
 
5.3%
0.1092612743 8
 
5.3%
0.5839169025 8
 
5.3%
-0.1136958599 8
 
5.3%
0.6032705307 8
 
5.3%
-0.700712204 8
 
5.3%
-0.1705944538 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.7033884525 8
5.3%
-0.700712204 8
5.3%
-0.5400359631 8
5.3%
-0.4160940647 8
5.3%
-0.231730938 8
5.3%
ValueCountFrequency (%)
1.035284996 8
5.3%
0.8221685886 8
5.3%
0.7557988167 8
5.3%
0.7383942604 8
5.3%
0.6913721561 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.03661547
Minimum88.60881042
Maximum94.2924118
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:12.610986image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88.60881042
5-th percentile89.19363022
Q191.41329956
median92.16923523
Q393.07019043
95-th percentile93.67185745
Maximum94.2924118
Range5.683601379
Interquartile range (IQR)1.656890869

Descriptive statistics

Standard deviation1.285177543
Coefficient of variation (CV)0.01396376362
Kurtosis1.041021318
Mean92.03661547
Median Absolute Deviation (MAD)0.784614563
Skewness-0.9413994549
Sum13989.56555
Variance1.651681317
MonotonicityNot monotonic
2024-03-27T11:54:12.762745image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
89.67211914 8
 
5.3%
92.95384979 8
 
5.3%
92.85066986 8
 
5.3%
92.42699432 8
 
5.3%
92.16923523 8
 
5.3%
93.16413116 8
 
5.3%
91.27014923 8
 
5.3%
88.60881042 8
 
5.3%
91.75018311 8
 
5.3%
93.08629608 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
88.60881042 8
5.3%
89.67211914 8
5.3%
91.14234161 8
5.3%
91.27014923 8
5.3%
91.41329956 8
5.3%
ValueCountFrequency (%)
94.2924118 8
5.3%
93.16413116 8
5.3%
93.10934448 8
5.3%
93.08629608 8
5.3%
93.07019043 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean92.83645509
Minimum89.47058868
Maximum94.95252228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:12.909779image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum89.47058868
5-th percentile90.10178452
Q191.97722626
median93.18396759
Q393.79554749
95-th percentile94.59115677
Maximum94.95252228
Range5.481933594
Interquartile range (IQR)1.818321228

Descriptive statistics

Standard deviation1.329219543
Coefficient of variation (CV)0.0143178619
Kurtosis0.3816204049
Mean92.83645509
Median Absolute Deviation (MAD)0.611579895
Skewness-0.9347513089
Sum14111.14117
Variance1.766824594
MonotonicityNot monotonic
2024-03-27T11:54:13.057805image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
90.61821747 8
 
5.3%
93.47324371 8
 
5.3%
93.79554749 8
 
5.3%
94.95252228 8
 
5.3%
91.97722626 8
 
5.3%
91.63079071 8
 
5.3%
93.38044739 8
 
5.3%
89.47058868 8
 
5.3%
92.95088959 8
 
5.3%
94.29549408 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
89.47058868 8
5.3%
90.61821747 8
5.3%
90.99871826 8
5.3%
91.63079071 8
5.3%
91.97722626 8
5.3%
ValueCountFrequency (%)
94.95252228 8
5.3%
94.29549408 8
5.3%
93.81417847 8
5.3%
93.80654907 8
5.3%
93.79554749 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.7998400613
Minimum-1.533335447
Maximum2.525526285
Zeros0
Zeros (%)0.0%
Negative40
Negative (%)26.3%
Memory size2.4 KiB
2024-03-27T11:54:13.206996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.533335447
5-th percentile-1.526464224
Q1-0.1677811146
median0.9460985661
Q31.845854521
95-th percentile2.456968129
Maximum2.525526285
Range4.058861732
Interquartile range (IQR)2.013635635

Descriptive statistics

Standard deviation1.198597523
Coefficient of variation (CV)1.498546498
Kurtosis-0.6348880373
Mean0.7998400613
Median Absolute Deviation (MAD)0.8997559547
Skewness-0.4791478973
Sum121.5756893
Variance1.436636022
MonotonicityNot monotonic
2024-03-27T11:54:13.375722image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.9460985661 8
 
5.3%
0.5193948746 8
 
5.3%
0.9448766708 8
 
5.3%
2.525526285 8
 
5.3%
-0.1920104027 8
 
5.3%
-1.533335447 8
 
5.3%
2.110296488 8
 
5.3%
0.8617818356 8
 
5.3%
1.200705767 8
 
5.3%
1.209199429 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-1.533335447 8
5.3%
-1.520842314 8
5.3%
-0.7720708847 8
5.3%
-0.1920104027 8
5.3%
-0.1677811146 8
5.3%
ValueCountFrequency (%)
2.525526285 8
5.3%
2.400875092 8
5.3%
2.217757702 8
5.3%
2.110296488 8
5.3%
1.845854521 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8444959302
Minimum0.7416413426
Maximum0.9093107581
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:13.542136image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.7416413426
5-th percentile0.7747788012
Q10.8161420226
median0.8476704955
Q30.878356874
95-th percentile0.9001486242
Maximum0.9093107581
Range0.1676694155
Interquartile range (IQR)0.06221485138

Descriptive statistics

Standard deviation0.03938721294
Coefficient of variation (CV)0.04663990853
Kurtosis0.3802153893
Mean0.8444959302
Median Absolute Deviation (MAD)0.03068637848
Skewness-0.6400872361
Sum128.3633814
Variance0.001551352543
MonotonicityNot monotonic
2024-03-27T11:54:13.702961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.8019756675 8
 
5.3%
0.8386487365 8
 
5.3%
0.8300242424 8
 
5.3%
0.9093107581 8
 
5.3%
0.8571428657 8
 
5.3%
0.8018912673 8
 
5.3%
0.8799583316 8
 
5.3%
0.8511682153 8
 
5.3%
0.8161420226 8
 
5.3%
0.8476704955 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
0.7416413426 8
5.3%
0.8018912673 8
5.3%
0.8019756675 8
5.3%
0.8128673434 8
5.3%
0.8161420226 8
5.3%
ValueCountFrequency (%)
0.9093107581 8
5.3%
0.8926523328 8
5.3%
0.8830129504 8
5.3%
0.8799583316 8
5.3%
0.878356874 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean85.3229599
Minimum77.28919983
Maximum91.74062347
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:13.850905image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum77.28919983
5-th percentile77.519133
Q182.90571594
median84.88523102
Q388.94025421
95-th percentile91.46598854
Maximum91.74062347
Range14.45142365
Interquartile range (IQR)6.034538269

Descriptive statistics

Standard deviation4.169366697
Coefficient of variation (CV)0.04886570627
Kurtosis-0.6905827409
Mean85.3229599
Median Absolute Deviation (MAD)2.737228394
Skewness-0.1424438765
Sum12969.0899
Variance17.38361865
MonotonicityNot monotonic
2024-03-27T11:54:14.008932image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
82.14800262 8
 
5.3%
84.88523102 8
 
5.3%
83.07155609 8
 
5.3%
88.94025421 8
 
5.3%
83.7882309 8
 
5.3%
77.28919983 8
 
5.3%
91.24128723 8
 
5.3%
87.20153046 8
 
5.3%
81.43910217 8
 
5.3%
85.19042969 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
77.28919983 8
5.3%
77.70726013 8
5.3%
81.43910217 8
5.3%
82.14800262 8
5.3%
82.90571594 8
5.3%
ValueCountFrequency (%)
91.74062347 8
5.3%
91.24128723 8
5.3%
91.16628265 8
5.3%
90.40498352 8
5.3%
88.94025421 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.8733664563
Minimum-4.203456879
Maximum3.543126583
Zeros0
Zeros (%)0.0%
Negative40
Negative (%)26.3%
Memory size2.4 KiB
2024-03-27T11:54:14.165752image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-4.203456879
5-th percentile-3.486515391
Q1-0.175100565
median1.020354033
Q33.245455027
95-th percentile3.538278043
Maximum3.543126583
Range7.746583462
Interquartile range (IQR)3.420555592

Descriptive statistics

Standard deviation2.24971129
Coefficient of variation (CV)2.575907598
Kurtosis-0.4310768529
Mean0.8733664563
Median Absolute Deviation (MAD)1.259195805
Skewness-0.6677229337
Sum132.7517014
Variance5.061200889
MonotonicityNot monotonic
2024-03-27T11:54:14.323128image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.950436831 8
 
5.3%
1.020354033 8
 
5.3%
0.06912946701 8
 
5.3%
-1.990818977 8
 
5.3%
-1.92605257 8
 
5.3%
-2.899926901 8
 
5.3%
3.245455027 8
 
5.3%
2.084708214 8
 
5.3%
-0.175100565 8
 
5.3%
0.4233777523 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-4.203456879 8
5.3%
-2.899926901 8
5.3%
-1.990818977 8
5.3%
-1.92605257 8
5.3%
-0.175100565 8
5.3%
ValueCountFrequency (%)
3.543126583 8
5.3%
3.534311056 8
5.3%
3.439325094 8
5.3%
3.404486179 8
5.3%
3.245455027 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean56343.28516
Minimum42920.04688
Maximum79666
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:14.475526image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum42920.04688
5-th percentile42948.83594
Q145987
median52825.45703
Q369496
95-th percentile78528.6
Maximum79666
Range36745.95312
Interquartile range (IQR)23509

Descriptive statistics

Standard deviation12468.35195
Coefficient of variation (CV)0.221292598
Kurtosis-0.7876948327
Mean56343.28516
Median Absolute Deviation (MAD)6838.457031
Skewness0.869767303
Sum8564179.344
Variance155459800.3
MonotonicityNot monotonic
2024-03-27T11:54:14.641615image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
49779.00781 8
 
5.3%
48691.625 8
 
5.3%
51641.67969 8
 
5.3%
44462 8
 
5.3%
53143 8
 
5.3%
53508 8
 
5.3%
69496 8
 
5.3%
54598 8
 
5.3%
50109 8
 
5.3%
45174.32031 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
42920.04688 8
5.3%
42972.39062 8
5.3%
44462 8
5.3%
45174.32031 8
5.3%
45987 8
5.3%
ValueCountFrequency (%)
79666 8
5.3%
77598 8
5.3%
76909 8
5.3%
76605.89062 8
5.3%
69496 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58697.40975
Minimum46190.71484
Maximum81521
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:14.801365image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum46190.71484
5-th percentile46343.48594
Q148899
median55482.75781
Q371602
95-th percentile80621.75
Maximum81521
Range35330.28516
Interquartile range (IQR)22703

Descriptive statistics

Standard deviation12288.12231
Coefficient of variation (CV)0.2093469263
Kurtosis-0.785268941
Mean58697.40975
Median Absolute Deviation (MAD)6583.757812
Skewness0.9007382834
Sum8922006.281
Variance150997950
MonotonicityNot monotonic
2024-03-27T11:54:14.972090image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
51138.80469 8
 
5.3%
50890.83594 8
 
5.3%
55482.75781 8
 
5.3%
48899 8
 
5.3%
54573 8
 
5.3%
56742 8
 
5.3%
71602 8
 
5.3%
56902 8
 
5.3%
50006 8
 
5.3%
47797.10938 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
46190.71484 8
5.3%
46468.48047 8
5.3%
47477 8
5.3%
47797.10938 8
5.3%
48899 8
5.3%
ValueCountFrequency (%)
81521 8
5.3%
79886 8
5.3%
79836 8
5.3%
78091.19531 8
5.3%
71602 8
5.3%

econ_labor_pov_pop_census_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.25021984
Minimum6.538764477
Maximum21.43811417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:15.155690image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6.538764477
5-th percentile6.98928771
Q111.16994381
median13.72362232
Q315.63074565
95-th percentile18.64856672
Maximum21.43811417
Range14.89934969
Interquartile range (IQR)4.46080184

Descriptive statistics

Standard deviation3.561959853
Coefficient of variation (CV)0.2688226985
Kurtosis-0.5215880148
Mean13.25021984
Median Absolute Deviation (MAD)1.984943867
Skewness-0.2721044864
Sum2014.033416
Variance12.687558
MonotonicityNot monotonic
2024-03-27T11:54:15.356975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.70954514 1
 
0.7%
13.10018635 1
 
0.7%
10.35277271 1
 
0.7%
13.09196663 1
 
0.7%
15.10527611 1
 
0.7%
6.908638954 1
 
0.7%
13.54666901 1
 
0.7%
8.437373161 1
 
0.7%
16.820755 1
 
0.7%
13.09850407 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
6.538764477 1
0.7%
6.582067966 1
0.7%
6.634060383 1
0.7%
6.747955322 1
0.7%
6.797157764 1
0.7%
ValueCountFrequency (%)
21.43811417 1
0.7%
21.08896065 1
0.7%
20.86623192 1
0.7%
19.8649025 1
0.7%
19.00496674 1
0.7%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.771603992
Minimum1.256662369
Maximum2.902410746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:15.698171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.256662369
5-th percentile1.313571048
Q11.411961913
median1.67173636
Q32.02357626
95-th percentile2.518233824
Maximum2.902410746
Range1.645748377
Interquartile range (IQR)0.6116143465

Descriptive statistics

Standard deviation0.3812336176
Coefficient of variation (CV)0.2151912161
Kurtosis1.786422968
Mean1.771603992
Median Absolute Deviation (MAD)0.2597744465
Skewness1.212475573
Sum269.2838068
Variance0.1453390712
MonotonicityNot monotonic
2024-03-27T11:54:15.853867image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.031276703 8
 
5.3%
1.695773244 8
 
5.3%
1.645563126 8
 
5.3%
1.67173636 8
 
5.3%
1.601243615 8
 
5.3%
2.155977964 8
 
5.3%
1.876386285 8
 
5.3%
2.902410746 8
 
5.3%
2.203907251 8
 
5.3%
1.402268052 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
1.256662369 8
5.3%
1.360132694 8
5.3%
1.400872946 8
5.3%
1.402268052 8
5.3%
1.411961913 8
5.3%
ValueCountFrequency (%)
2.902410746 8
5.3%
2.203907251 8
5.3%
2.155977964 8
5.3%
2.031276703 8
5.3%
2.02357626 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.164267534
Minimum1.159759879
Maximum3.262578964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:16.010704image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.159759879
5-th percentile1.317881155
Q11.800698996
median2.056185246
Q32.612202168
95-th percentile3.20363121
Maximum3.262578964
Range2.102819085
Interquartile range (IQR)0.8115031719

Descriptive statistics

Standard deviation0.5720824068
Coefficient of variation (CV)0.2643307252
Kurtosis-0.6220409284
Mean2.164267534
Median Absolute Deviation (MAD)0.3454787731
Skewness0.4162251369
Sum328.9686651
Variance0.3272782802
MonotonicityNot monotonic
2024-03-27T11:54:16.158491image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.056114435 8
 
5.3%
1.937990665 8
 
5.3%
2.160377979 8
 
5.3%
1.54645586 8
 
5.3%
1.800698996 8
 
5.3%
2.335085392 8
 
5.3%
1.672826171 8
 
5.3%
3.15540123 8
 
5.3%
2.612202168 8
 
5.3%
2.056185246 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
1.159759879 8
5.3%
1.447253108 8
5.3%
1.54645586 8
5.3%
1.672826171 8
5.3%
1.800698996 8
5.3%
ValueCountFrequency (%)
3.262578964 8
5.3%
3.15540123 8
5.3%
3.056114435 8
5.3%
2.746321917 8
5.3%
2.612202168 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.392663529
Minimum-0.2411130816
Maximum1.239002824
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)15.8%
Memory size2.4 KiB
2024-03-27T11:54:16.300878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2411130816
5-th percentile-0.2204589494
Q10.1905906945
median0.406372726
Q30.614872098
95-th percentile1.121211958
Maximum1.239002824
Range1.480115905
Interquartile range (IQR)0.4242814034

Descriptive statistics

Standard deviation0.3753639053
Coefficient of variation (CV)0.9559428812
Kurtosis-0.0558239465
Mean0.392663529
Median Absolute Deviation (MAD)0.208499372
Skewness0.3414946115
Sum59.68485641
Variance0.1408980614
MonotonicityNot monotonic
2024-03-27T11:54:16.457716image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.024837613 8
 
5.3%
0.2422174513 8
 
5.3%
0.5148147941 8
 
5.3%
-0.1252804846 8
 
5.3%
0.1994553953 8
 
5.3%
0.1791074872 8
 
5.3%
-0.2035601139 8
 
5.3%
0.2529906034 8
 
5.3%
0.4082947969 8
 
5.3%
0.6539170742 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.2411130816 8
5.3%
-0.2035601139 8
5.3%
-0.1252804846 8
5.3%
0.1791074872 8
5.3%
0.1905906945 8
5.3%
ValueCountFrequency (%)
1.239002824 8
5.3%
1.024837613 8
5.3%
0.8279049993 8
5.3%
0.6539170742 8
5.3%
0.614872098 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27.78548276
Minimum15.80192471
Maximum45.42205429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:16.610588image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum15.80192471
5-th percentile15.99778132
Q123.9250946
median26.45316696
Q329.89364624
95-th percentile42.55962009
Maximum45.42205429
Range29.62012959
Interquartile range (IQR)5.968551636

Descriptive statistics

Standard deviation7.116546885
Coefficient of variation (CV)0.2561246442
Kurtosis0.5866163953
Mean27.78548276
Median Absolute Deviation (MAD)2.654352188
Skewness0.6997351206
Sum4223.393379
Variance50.64523957
MonotonicityNot monotonic
2024-03-27T11:54:16.762200image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
28.76548767 8
 
5.3%
25.58545685 8
 
5.3%
28.18872643 8
 
5.3%
45.42205429 8
 
5.3%
25.63019753 8
 
5.3%
29.10751915 8
 
5.3%
23.42503929 8
 
5.3%
40.21762848 8
 
5.3%
32.56874466 8
 
5.3%
23.9250946 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
15.80192471 8
5.3%
16.15802765 8
5.3%
22.3841095 8
5.3%
23.42503929 8
5.3%
23.9250946 8
5.3%
ValueCountFrequency (%)
45.42205429 8
5.3%
40.21762848 8
5.3%
37.22080612 8
5.3%
32.56874466 8
5.3%
29.89364624 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean30.2279639
Minimum19.2518959
Maximum44.97650528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:16.921199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum19.2518959
5-th percentile20.24537621
Q126.5103817
median28.50113869
Q332.38605881
95-th percentile44.09367371
Maximum44.97650528
Range25.72460938
Interquartile range (IQR)5.875677109

Descriptive statistics

Standard deviation6.79693567
Coefficient of variation (CV)0.2248558882
Kurtosis0.142076013
Mean30.2279639
Median Absolute Deviation (MAD)2.104215622
Skewness0.8447292958
Sum4594.650513
Variance46.1983345
MonotonicityNot monotonic
2024-03-27T11:54:17.077592image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
32.38605881 8
 
5.3%
27.1497097 8
 
5.3%
30.60535431 8
 
5.3%
44.97650528 8
 
5.3%
29.18123055 8
 
5.3%
30.41035843 8
 
5.3%
26.84983635 8
 
5.3%
43.37135696 8
 
5.3%
34.60729599 8
 
5.3%
24.49800873 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
19.2518959 8
5.3%
21.05822372 8
5.3%
24.49800873 8
5.3%
26.50035286 8
5.3%
26.5103817 8
5.3%
ValueCountFrequency (%)
44.97650528 8
5.3%
43.37135696 8
5.3%
42.54824066 8
5.3%
34.60729599 8
5.3%
32.38605881 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.442480881
Minimum-0.4455476999
Maximum5.327433586
Zeros0
Zeros (%)0.0%
Negative8
Negative (%)5.3%
Memory size2.4 KiB
2024-03-27T11:54:17.217518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4455476999
5-th percentile0.07912561297
Q11.055976748
median2.416628599
Q33.55103302
95-th percentile5.092452955
Maximum5.327433586
Range5.772981286
Interquartile range (IQR)2.495056272

Descriptive statistics

Standard deviation1.542432045
Coefficient of variation (CV)0.6315021981
Kurtosis-0.8458811547
Mean2.442480881
Median Absolute Deviation (MAD)1.134404421
Skewness0.0326613136
Sum371.2570939
Variance2.379096614
MonotonicityNot monotonic
2024-03-27T11:54:17.373331image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.620570898 8
 
5.3%
1.564252377 8
 
5.3%
2.416628599 8
 
5.3%
-0.4455476999 8
 
5.3%
3.55103302 8
 
5.3%
1.302838326 8
 
5.3%
3.424796581 8
 
5.3%
3.153726578 8
 
5.3%
2.038550377 8
 
5.3%
0.5729153752 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.4455476999 8
5.3%
0.5084037781 8
5.3%
0.5729153752 8
5.3%
0.8608400822 8
5.3%
1.055976748 8
5.3%
ValueCountFrequency (%)
5.327433586 8
5.3%
4.900196075 8
5.3%
4.116243362 8
5.3%
3.620570898 8
5.3%
3.55103302 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.476291832
Minimum3.939752579
Maximum7.984867573
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:17.528878image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.939752579
5-th percentile4.052474213
Q15.719941616
median6.985350132
Q37.47319746
95-th percentile7.984452939
Maximum7.984867573
Range4.045114994
Interquartile range (IQR)1.753255844

Descriptive statistics

Standard deviation1.305175802
Coefficient of variation (CV)0.2015313447
Kurtosis-0.8365326754
Mean6.476291832
Median Absolute Deviation (MAD)0.9335041046
Skewness-0.6592580813
Sum984.3963585
Variance1.703483874
MonotonicityNot monotonic
2024-03-27T11:54:17.699265image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
4.144701004 8
 
5.3%
5.930202007 8
 
5.3%
7.984113693 8
 
5.3%
6.92775631 8
 
5.3%
5.719941616 8
 
5.3%
6.985350132 8
 
5.3%
6.327153206 8
 
5.3%
7.918854237 8
 
5.3%
4.920968056 8
 
5.3%
5.778486252 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
3.939752579 8
5.3%
4.144701004 8
5.3%
4.394266129 8
5.3%
4.920968056 8
5.3%
5.719941616 8
5.3%
ValueCountFrequency (%)
7.984867573 8
5.3%
7.984113693 8
5.3%
7.918854237 8
5.3%
7.857138634 8
5.3%
7.47319746 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.155612996
Minimum4.340656281
Maximum8.690939903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:17.860529image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.340656281
5-th percentile4.359084272
Q14.805181503
median6.126523495
Q37.179616451
95-th percentile8.411221313
Maximum8.690939903
Range4.350283623
Interquartile range (IQR)2.374434948

Descriptive statistics

Standard deviation1.317915099
Coefficient of variation (CV)0.214099733
Kurtosis-0.9529535132
Mean6.155612996
Median Absolute Deviation (MAD)1.055578232
Skewness0.2688852668
Sum935.6531754
Variance1.736900207
MonotonicityNot monotonic
2024-03-27T11:54:18.000494image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5.613539219 8
 
5.3%
7.179616451 8
 
5.3%
7.182101727 8
 
5.3%
8.690939903 8
 
5.3%
6.126523495 8
 
5.3%
4.780308723 8
 
5.3%
4.944854736 8
 
5.3%
6.014816284 8
 
5.3%
5.631655216 8
 
5.3%
6.791475296 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
4.340656281 8
5.3%
4.37416172 8
5.3%
4.44183588 8
5.3%
4.780308723 8
5.3%
4.805181503 8
5.3%
ValueCountFrequency (%)
8.690939903 8
5.3%
8.182360649 8
5.3%
8.151092529 8
5.3%
7.182101727 8
5.3%
7.179616451 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3206788286
Minimum-2.983968019
Maximum3.788094997
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)52.6%
Memory size2.4 KiB
2024-03-27T11:54:18.140428image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.983968019
5-th percentile-2.810194385
Q1-1.904037952
median-0.8020117879
Q31.117516279
95-th percentile2.674393725
Maximum3.788094997
Range6.772063017
Interquartile range (IQR)3.021554232

Descriptive statistics

Standard deviation1.788764259
Coefficient of variation (CV)-5.578055362
Kurtosis-0.5758737356
Mean-0.3206788286
Median Absolute Deviation (MAD)1.512698829
Skewness0.3462373861
Sum-48.74318194
Variance3.199677575
MonotonicityNot monotonic
2024-03-27T11:54:18.299198image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.468838334 8
 
5.3%
1.249414325 8
 
5.3%
-0.8020117879 8
 
5.3%
1.763183594 8
 
5.3%
0.4065819085 8
 
5.3%
-2.205041409 8
 
5.3%
-1.38229835 8
 
5.3%
-1.904037952 8
 
5.3%
0.7106870413 8
 
5.3%
1.012989163 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-2.983968019 8
5.3%
-2.668015957 8
5.3%
-2.652551651 8
5.3%
-2.205041409 8
5.3%
-1.904037952 8
5.3%
ValueCountFrequency (%)
3.788094997 8
5.3%
1.763183594 8
5.3%
1.468838334 8
5.3%
1.249414325 8
5.3%
1.117516279 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.782634911
Minimum1.088224769
Maximum3.833373547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:18.451869image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.088224769
5-th percentile1.115604693
Q11.201186299
median1.366764545
Q32.00237751
95-th percentile3.773470247
Maximum3.833373547
Range2.745148778
Interquartile range (IQR)0.8011912107

Descriptive statistics

Standard deviation0.8183829764
Coefficient of variation (CV)0.4590861378
Kurtosis1.112740122
Mean1.782634911
Median Absolute Deviation (MAD)0.2112473249
Skewness1.498308835
Sum270.9605064
Variance0.669750696
MonotonicityNot monotonic
2024-03-27T11:54:18.597143image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.957765818 8
 
5.3%
1.201186299 8
 
5.3%
1.331997156 8
 
5.3%
1.343472719 8
 
5.3%
1.15551722 8
 
5.3%
1.504452705 8
 
5.3%
3.724458456 8
 
5.3%
3.833373547 8
 
5.3%
1.322730899 8
 
5.3%
1.237950563 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
1.088224769 8
5.3%
1.138006449 8
5.3%
1.15551722 8
5.3%
1.170009494 8
5.3%
1.201186299 8
5.3%
ValueCountFrequency (%)
3.833373547 8
5.3%
3.724458456 8
5.3%
2.69921875 8
5.3%
2.508887291 8
5.3%
2.00237751 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.000029558
Minimum1.045657635
Maximum3.993253469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:18.742232image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.045657635
5-th percentile1.221161467
Q11.388207555
median1.570048332
Q32.578552723
95-th percentile3.792159247
Maximum3.993253469
Range2.947595835
Interquartile range (IQR)1.190345168

Descriptive statistics

Standard deviation0.8433095076
Coefficient of variation (CV)0.4216485223
Kurtosis-0.008117267487
Mean2.000029558
Median Absolute Deviation (MAD)0.2052928209
Skewness1.100044031
Sum304.0044928
Variance0.7111709256
MonotonicityNot monotonic
2024-03-27T11:54:18.899024image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.027189016 8
 
5.3%
1.36983645 8
 
5.3%
1.388207555 8
 
5.3%
3.301758051 8
 
5.3%
1.045657635 8
 
5.3%
1.388754964 8
 
5.3%
3.993253469 8
 
5.3%
3.627627611 8
 
5.3%
1.570048332 8
 
5.3%
1.366087914 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
1.045657635 8
5.3%
1.364755511 8
5.3%
1.366087914 8
5.3%
1.36983645 8
5.3%
1.388207555 8
5.3%
ValueCountFrequency (%)
3.993253469 8
5.3%
3.627627611 8
5.3%
3.301758051 8
5.3%
2.705595732 8
5.3%
2.578552723 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2173946451
Minimum-0.2057459205
Maximum1.958285332
Zeros0
Zeros (%)0.0%
Negative24
Negative (%)15.8%
Memory size2.4 KiB
2024-03-27T11:54:19.075597image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2057459205
5-th percentile-0.1562194221
Q10.03153895959
median0.1317429394
Q30.2687949538
95-th percentile1.092670238
Maximum1.958285332
Range2.164031252
Interquartile range (IQR)0.2372559942

Descriptive statistics

Standard deviation0.4399433447
Coefficient of variation (CV)2.023708286
Kurtosis10.54736856
Mean0.2173946451
Median Absolute Deviation (MAD)0.1155745238
Skewness3.220766937
Sum33.04398605
Variance0.1935501465
MonotonicityNot monotonic
2024-03-27T11:54:19.237068image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.06942320615 8
 
5.3%
0.1686501354 8
 
5.3%
0.05621034652 8
 
5.3%
1.958285332 8
 
5.3%
-0.1098596454 8
 
5.3%
-0.1156977415 8
 
5.3%
0.2687949538 8
 
5.3%
-0.2057459205 8
 
5.3%
0.2473174632 8
 
5.3%
0.1281373203 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.2057459205 8
5.3%
-0.1156977415 8
5.3%
-0.1098596454 8
5.3%
0.006376951933 8
5.3%
0.03153895959 8
5.3%
ValueCountFrequency (%)
1.958285332 8
5.3%
0.3844397068 8
5.3%
0.3607275784 8
5.3%
0.2850182354 8
5.3%
0.2687949538 8
5.3%
Distinct18
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1970.363101
Minimum1957
Maximum1990.767456
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:19.388846image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1957
5-th percentile1957.665747
Q11963.310547
median1969.454346
Q31977
95-th percentile1988.145355
Maximum1990.767456
Range33.76745605
Interquartile range (IQR)13.68945312

Descriptive statistics

Standard deviation9.137708042
Coefficient of variation (CV)0.004637575701
Kurtosis-0.4483567324
Mean1970.363101
Median Absolute Deviation (MAD)6.143798828
Skewness0.4874962587
Sum299495.1914
Variance83.49770826
MonotonicityNot monotonic
2024-03-27T11:54:19.553959image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
1975 16
 
10.5%
1970.179565 8
 
5.3%
1958.210449 8
 
5.3%
1966.899902 8
 
5.3%
1965 8
 
5.3%
1972 8
 
5.3%
1978 8
 
5.3%
1957 8
 
5.3%
1969 8
 
5.3%
1963.921021 8
 
5.3%
Other values (8) 64
42.1%
ValueCountFrequency (%)
1957 8
5.3%
1958.210449 8
5.3%
1959.15564 8
5.3%
1961 8
5.3%
1963.310547 8
5.3%
ValueCountFrequency (%)
1990.767456 8
5.3%
1986 8
5.3%
1980 8
5.3%
1978 8
5.3%
1977 8
5.3%
Distinct17
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1971.702181
Minimum1958
Maximum1991.061646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:19.719273image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1958
5-th percentile1959.304034
Q11964.197754
median1971
Q31977
95-th percentile1988.82774
Maximum1991.061646
Range33.06164551
Interquartile range (IQR)12.80224609

Descriptive statistics

Standard deviation8.801156031
Coefficient of variation (CV)0.004463734999
Kurtosis-0.4686386645
Mean1971.702181
Median Absolute Deviation (MAD)6
Skewness0.47979399
Sum299698.7314
Variance77.46034748
MonotonicityNot monotonic
2024-03-27T11:54:19.876838image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1971 16
 
10.5%
1977 16
 
10.5%
1972.365479 8
 
5.3%
1976 8
 
5.3%
1960.370972 8
 
5.3%
1967 8
 
5.3%
1980 8
 
5.3%
1958 8
 
5.3%
1967.762207 8
 
5.3%
1965.991577 8
 
5.3%
Other values (7) 56
36.8%
ValueCountFrequency (%)
1958 8
5.3%
1960.370972 8
5.3%
1962 8
5.3%
1962.498535 8
5.3%
1964.197754 8
5.3%
ValueCountFrequency (%)
1991.061646 8
5.3%
1987 8
5.3%
1981 8
5.3%
1980 8
5.3%
1977 16
10.5%

hou_mkt_homeage_acs5yr_diff
Real number (ℝ)

ZEROS 

Distinct12
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.339079204
Minimum-1
Maximum3.342895508
Zeros8
Zeros (%)5.3%
Negative8
Negative (%)5.3%
Memory size2.4 KiB
2024-03-27T11:54:20.027409image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1
5-th percentile-0.45
Q10.8872070312
median1
Q32
95-th percentile2.706555176
Maximum3.342895508
Range4.342895508
Interquartile range (IQR)1.112792969

Descriptive statistics

Standard deviation0.9529875822
Coefficient of variation (CV)0.7116737972
Kurtosis0.4585684551
Mean1.339079204
Median Absolute Deviation (MAD)1
Skewness-0.3693722186
Sum203.5400391
Variance0.9081853318
MonotonicityNot monotonic
2024-03-27T11:54:20.171314image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 40
26.3%
2 32
21.1%
2.160522461 8
 
5.3%
2.185913086 8
 
5.3%
0.8623046875 8
 
5.3%
-1 8
 
5.3%
2.070556641 8
 
5.3%
3.342895508 8
 
5.3%
0.8872070312 8
 
5.3%
0.2941894531 8
 
5.3%
Other values (2) 16
 
10.5%
ValueCountFrequency (%)
-1 8
5.3%
0 8
5.3%
0.2941894531 8
5.3%
0.8623046875 8
5.3%
0.8872070312 8
5.3%
ValueCountFrequency (%)
3.342895508 8
 
5.3%
2.185913086 8
 
5.3%
2.160522461 8
 
5.3%
2.070556641 8
 
5.3%
2 32
21.1%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.66110701
Minimum6.109918118
Maximum31.59661674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:20.314972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6.109918118
5-th percentile7.000295448
Q113.95263195
median17.5345993
Q324.47494507
95-th percentile31.49050093
Maximum31.59661674
Range25.48669863
Interquartile range (IQR)10.52231312

Descriptive statistics

Standard deviation7.581248579
Coefficient of variation (CV)0.4062593164
Kurtosis-0.7481742436
Mean18.66110701
Median Absolute Deviation (MAD)3.581967354
Skewness0.2138076844
Sum2836.488266
Variance57.47533002
MonotonicityNot monotonic
2024-03-27T11:54:20.476002image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
17.42738342 8
 
5.3%
31.59661674 8
 
5.3%
24.47494507 8
 
5.3%
13.95263195 8
 
5.3%
17.5345993 8
 
5.3%
16.55415916 8
 
5.3%
16.13511658 8
 
5.3%
31.1909256 8
 
5.3%
16.05579758 8
 
5.3%
26.07308388 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
6.109918118 8
5.3%
7.728785992 8
5.3%
9.069904327 8
5.3%
9.460668564 8
5.3%
13.95263195 8
5.3%
ValueCountFrequency (%)
31.59661674 8
5.3%
31.40367889 8
5.3%
31.1909256 8
5.3%
26.07308388 8
5.3%
24.47494507 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.66541509
Minimum5.659364223
Maximum30.36918259
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:20.629086image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.659364223
5-th percentile6.721333051
Q112.10316086
median16.42971992
Q323.57779312
95-th percentile30.14038239
Maximum30.36918259
Range24.70981836
Interquartile range (IQR)11.47463226

Descriptive statistics

Standard deviation7.343308204
Coefficient of variation (CV)0.415688404
Kurtosis-0.8342929007
Mean17.66541509
Median Absolute Deviation (MAD)4.326559067
Skewness0.235825654
Sum2685.143093
Variance53.92417538
MonotonicityNot monotonic
2024-03-27T11:54:20.789425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
15.48573685 8
 
5.3%
29.95318222 8
 
5.3%
23.57779312 8
 
5.3%
12.10316086 8
 
5.3%
16.42971992 8
 
5.3%
15.93607998 8
 
5.3%
15.90112782 8
 
5.3%
30.36918259 8
 
5.3%
13.84617996 8
 
5.3%
24.58300209 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
5.659364223 8
5.3%
7.590216637 8
5.3%
8.647956848 8
5.3%
8.821070671 8
5.3%
12.10316086 8
5.3%
ValueCountFrequency (%)
30.36918259 8
5.3%
29.95318222 8
5.3%
29.5435276 8
5.3%
24.58300209 8
5.3%
23.57779312 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.009956921794
Minimum-0.02209618688
Maximum-0.001385696232
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)100.0%
Memory size2.4 KiB
2024-03-27T11:54:20.938464image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.02209618688
5-th percentile-0.02062234059
Q1-0.01643434167
median-0.008217424154
Q3-0.00450553745
95-th percentile-0.001910508052
Maximum-0.001385696232
Range0.02071049064
Interquartile range (IQR)0.01192880422

Descriptive statistics

Standard deviation0.006347666993
Coefficient of variation (CV)-0.6375129909
Kurtosis-1.07716617
Mean-0.009956921794
Median Absolute Deviation (MAD)0.005070775747
Skewness-0.4581491368
Sum-1.513452113
Variance4.029287626 × 10-5
MonotonicityNot monotonic
2024-03-27T11:54:21.085594image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.01941646636 8
 
5.3%
-0.01643434167 8
 
5.3%
-0.008971527219 8
 
5.3%
-0.01849471033 8
 
5.3%
-0.01104880869 8
 
5.3%
-0.006180793047 8
 
5.3%
-0.00233989954 8
 
5.3%
-0.008217424154 8
 
5.3%
-0.02209618688 8
 
5.3%
-0.01490081847 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-0.02209618688 8
5.3%
-0.01941646636 8
5.3%
-0.01860150695 8
5.3%
-0.01849471033 8
5.3%
-0.01643434167 8
5.3%
ValueCountFrequency (%)
-0.001385696232 8
5.3%
-0.00233989954 8
5.3%
-0.002488330007 8
5.3%
-0.003146648407 8
5.3%
-0.00450553745 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean164.8520006
Minimum88.76148987
Maximum309.7999878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:21.229943image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88.76148987
5-th percentile88.86854668
Q1113.8548508
median126.3000031
Q3241.6000061
95-th percentile293.9049911
Maximum309.7999878
Range221.0384979
Interquartile range (IQR)127.7451553

Descriptive statistics

Standard deviation70.88309503
Coefficient of variation (CV)0.429980193
Kurtosis-1.013633523
Mean164.8520006
Median Absolute Deviation (MAD)35.64738464
Skewness0.6774142096
Sum25057.50409
Variance5024.413161
MonotonicityNot monotonic
2024-03-27T11:54:21.382946image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
135.7541046 8
 
5.3%
113.8548508 8
 
5.3%
124.3089676 8
 
5.3%
147.8000031 8
 
5.3%
124.3000031 8
 
5.3%
120.9000015 8
 
5.3%
241.6000061 8
 
5.3%
256.8999939 8
 
5.3%
126.3000031 8
 
5.3%
88.95613861 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
88.76148987 8
5.3%
88.95613861 8
5.3%
90.65261841 8
5.3%
92.30000305 8
5.3%
113.8548508 8
5.3%
ValueCountFrequency (%)
309.7999878 8
5.3%
280.8999939 8
5.3%
256.8999939 8
5.3%
243.5 8
5.3%
241.6000061 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean155.5977434
Minimum94.72212219
Maximum283.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:21.534060image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum94.72212219
5-th percentile95.25995331
Q1111.9347
median130.3922272
Q3208.5
95-th percentile263.2599983
Maximum283.5
Range188.7778778
Interquartile range (IQR)96.56529999

Descriptive statistics

Standard deviation56.08100881
Coefficient of variation (CV)0.3604230215
Kurtosis-0.6009996311
Mean155.5977434
Median Absolute Deviation (MAD)34.15868378
Skewness0.7727119402
Sum23650.85699
Variance3145.07955
MonotonicityNot monotonic
2024-03-27T11:54:21.696952image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
120.9940109 8
 
5.3%
111.9347 8
 
5.3%
126.1298828 8
 
5.3%
151.3999939 8
 
5.3%
129.1999969 8
 
5.3%
133.3999939 8
 
5.3%
215.8000031 8
 
5.3%
219.8000031 8
 
5.3%
120.5 8
 
5.3%
94.72212219 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
94.72212219 8
5.3%
95.69999695 8
5.3%
96.2335434 8
5.3%
97.17861938 8
5.3%
111.9347 8
5.3%
ValueCountFrequency (%)
283.5 8
5.3%
246.6999969 8
5.3%
219.8000031 8
5.3%
215.8000031 8
5.3%
208.5 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-9.254256067
Minimum-37.09999847
Maximum12.5
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)52.6%
Memory size2.4 KiB
2024-03-27T11:54:21.854806image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-37.09999847
5-th percentile-35.94499931
Q1-25.79999924
median-1.920148492
Q35.765984535
95-th percentile9.734629965
Maximum12.5
Range49.59999847
Interquartile range (IQR)31.56598377

Descriptive statistics

Standard deviation16.75422161
Coefficient of variation (CV)-1.810434192
Kurtosis-1.461466912
Mean-9.254256067
Median Absolute Deviation (MAD)9.392202973
Skewness-0.4011286801
Sum-1406.646922
Variance280.7039417
MonotonicityNot monotonic
2024-03-27T11:54:22.005983image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-14.76010132 8
 
5.3%
-1.920148492 8
 
5.3%
1.82091403 8
 
5.3%
3.599999905 8
 
5.3%
4.900000095 8
 
5.3%
12.5 8
 
5.3%
-25.79999924 8
 
5.3%
-37.09999847 8
 
5.3%
-5.800000191 8
 
5.3%
5.765984535 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-37.09999847 8
5.3%
-35 8
5.3%
-34.20000076 8
5.3%
-26.29999924 8
5.3%
-25.79999924 8
5.3%
ValueCountFrequency (%)
12.5 8
5.3%
7.472054482 8
5.3%
6.958132744 8
5.3%
6.526000023 8
5.3%
5.765984535 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.222835478
Minimum3.97610116
Maximum9.449999809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:22.148844image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.97610116
5-th percentile4.013756907
Q14.710000038
median5.519999981
Q38.100000381
95-th percentile9.136499977
Maximum9.449999809
Range5.473898649
Interquartile range (IQR)3.390000343

Descriptive statistics

Standard deviation1.761542851
Coefficient of variation (CV)0.2830772012
Kurtosis-1.226955324
Mean6.222835478
Median Absolute Deviation (MAD)1.309999943
Skewness0.4429671836
Sum945.8709927
Variance3.103033215
MonotonicityNot monotonic
2024-03-27T11:54:22.296891image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
5.690238476 8
 
5.3%
4.632241249 8
 
5.3%
5.168464184 8
 
5.3%
6.269999981 8
 
5.3%
5.519999981 8
 
5.3%
5.389999866 8
 
5.3%
8.289999962 8
 
5.3%
8.100000381 8
 
5.3%
5.400000095 8
 
5.3%
3.97610116 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
3.97610116 8
5.3%
4.044566154 8
5.3%
4.066448689 8
5.3%
4.632241249 8
5.3%
4.710000038 8
5.3%
ValueCountFrequency (%)
9.449999809 8
5.3%
8.880000114 8
5.3%
8.659999847 8
5.3%
8.289999962 8
5.3%
8.100000381 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.852946984
Minimum4.386217117
Maximum10.72999954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:22.619343image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.386217117
5-th percentile4.449975777
Q15.119999886
median6.090000153
Q38.899999619
95-th percentile10.03149981
Maximum10.72999954
Range6.343782425
Interquartile range (IQR)3.779999733

Descriptive statistics

Standard deviation1.92578108
Coefficient of variation (CV)0.2810150267
Kurtosis-1.078568407
Mean6.852946984
Median Absolute Deviation (MAD)1.339999676
Skewness0.4869199705
Sum1041.647942
Variance3.708632768
MonotonicityNot monotonic
2024-03-27T11:54:22.768786image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
6.123116493 8
 
5.3%
5.097531319 8
 
5.3%
5.882773399 8
 
5.3%
6.949999809 8
 
5.3%
6.050000191 8
 
5.3%
5.909999847 8
 
5.3%
8.899999619 8
 
5.3%
8.829999924 8
 
5.3%
6.090000153 8
 
5.3%
4.386217117 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
4.386217117 8
5.3%
4.502141953 8
5.3%
4.514385223 8
5.3%
5.097531319 8
5.3%
5.119999886 8
5.3%
ValueCountFrequency (%)
10.72999954 8
5.3%
9.460000038 8
5.3%
9.409999847 8
5.3%
9.115392685 8
5.3%
8.899999619 8
5.3%
Distinct18
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.6301115845
Minimum0.4099999964
Maximum1.279999971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:22.927966image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4099999964
5-th percentile0.4100639552
Q10.4575756788
median0.5780072212
Q30.7143090963
95-th percentile1.17330423
Maximum1.279999971
Range0.869999975
Interquartile range (IQR)0.2567334175

Descriptive statistics

Standard deviation0.2236680096
Coefficient of variation (CV)0.3549657158
Kurtosis2.046824586
Mean0.6301115845
Median Absolute Deviation (MAD)0.1204315424
Skewness1.573293004
Sum95.77696085
Variance0.05002737854
MonotonicityNot monotonic
2024-03-27T11:54:23.078386image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
0.5299999714 16
 
10.5%
0.4328778088 8
 
5.3%
0.4652899206 8
 
5.3%
0.7143090963 8
 
5.3%
0.6800000072 8
 
5.3%
0.5199999809 8
 
5.3%
0.6100000143 8
 
5.3%
0.7300000191 8
 
5.3%
0.6899999976 8
 
5.3%
0.4101162851 8
 
5.3%
Other values (8) 64
42.1%
ValueCountFrequency (%)
0.4099999964 8
5.3%
0.4101162851 8
5.3%
0.4328778088 8
5.3%
0.4479364157 8
5.3%
0.4575756788 8
5.3%
ValueCountFrequency (%)
1.279999971 8
5.3%
1.086007714 8
5.3%
0.8000000119 8
5.3%
0.7300000191 8
5.3%
0.7143090963 8
5.3%
Distinct18
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.27059289
Minimum10.19999981
Maximum22.10000038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:23.228593image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10.19999981
5-th percentile11.29999981
Q112.60000038
median15.33078575
Q316.5653019
95-th percentile20.88999996
Maximum22.10000038
Range11.90000057
Interquartile range (IQR)3.965301514

Descriptive statistics

Standard deviation2.829558594
Coefficient of variation (CV)0.1852946126
Kurtosis0.1342978285
Mean15.27059289
Median Absolute Deviation (MAD)1.495441437
Skewness0.5181106767
Sum2321.130119
Variance8.006401835
MonotonicityNot monotonic
2024-03-27T11:54:23.396145image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
12.19999981 16
 
10.5%
13.83534431 8
 
5.3%
15.30633259 8
 
5.3%
15.61178303 8
 
5.3%
19.89999962 8
 
5.3%
13.89999962 8
 
5.3%
16.39999962 8
 
5.3%
12.30000019 8
 
5.3%
22.10000038 8
 
5.3%
18.21614265 8
 
5.3%
Other values (8) 64
42.1%
ValueCountFrequency (%)
10.19999981 8
5.3%
12.19999981 16
10.5%
12.30000019 8
5.3%
12.60000038 8
5.3%
13.83534431 8
5.3%
ValueCountFrequency (%)
22.10000038 8
5.3%
19.89999962 8
5.3%
18.21614265 8
5.3%
17.4648838 8
5.3%
16.5653019 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.95543897
Minimum10.5
Maximum21.20000076
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:23.557140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10.5
5-th percentile11.10500021
Q113.39999962
median14.44476795
Q316.68391609
95-th percentile19.11000013
Maximum21.20000076
Range10.70000076
Interquartile range (IQR)3.283916473

Descriptive statistics

Standard deviation2.334643314
Coefficient of variation (CV)0.1561066392
Kurtosis0.9549055368
Mean14.95543897
Median Absolute Deviation (MAD)1.455231667
Skewness0.5930649614
Sum2273.226723
Variance5.450559403
MonotonicityNot monotonic
2024-03-27T11:54:23.719051image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
12.92653179 8
 
5.3%
14.44476795 8
 
5.3%
14.50748253 8
 
5.3%
13.30000019 8
 
5.3%
17.39999962 8
 
5.3%
16.10000038 8
 
5.3%
15.30000019 8
 
5.3%
11.60000038 8
 
5.3%
21.20000076 8
 
5.3%
16.68391609 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
10.5 8
5.3%
11.60000038 8
5.3%
12.92653179 8
5.3%
13.30000019 8
5.3%
13.39999962 8
5.3%
ValueCountFrequency (%)
21.20000076 8
5.3%
17.39999962 8
5.3%
17.21616173 8
5.3%
16.99258804 8
5.3%
16.68391609 8
5.3%
Distinct18
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3151539862
Minimum-2.5
Maximum3
Zeros0
Zeros (%)0.0%
Negative104
Negative (%)68.4%
Memory size2.4 KiB
2024-03-27T11:54:23.865979image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.5
5-th percentile-2.375330174
Q1-1.240869164
median-0.6000000238
Q30.8000000119
95-th percentile2.45
Maximum3
Range5.5
Interquartile range (IQR)2.040869176

Descriptive statistics

Standard deviation1.499472259
Coefficient of variation (CV)-4.757903516
Kurtosis-0.458091276
Mean-0.3151539862
Median Absolute Deviation (MAD)0.9000000358
Skewness0.6159334106
Sum-47.9034059
Variance2.248417056
MonotonicityNot monotonic
2024-03-27T11:54:24.012305image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.6000000238 16
 
10.5%
-0.9088119268 8
 
5.3%
-0.8615646362 8
 
5.3%
-1.104299903 8
 
5.3%
-2.5 8
 
5.3%
-0.3000000119 8
 
5.3%
3 8
 
5.3%
-0.8999999762 8
 
5.3%
-1.532226562 8
 
5.3%
-2.273327589 8
 
5.3%
Other values (8) 64
42.1%
ValueCountFrequency (%)
-2.5 8
5.3%
-2.273327589 8
5.3%
-2.200000048 8
5.3%
-1.532226562 8
5.3%
-1.240869164 8
5.3%
ValueCountFrequency (%)
3 8
5.3%
2 8
5.3%
1.805470228 8
5.3%
1.600000024 8
5.3%
0.8000000119 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean17.12561452
Minimum11.55278492
Maximum24.69712257
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:24.167326image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum11.55278492
5-th percentile11.63968492
Q112.80387211
median14.21494293
Q322.40766716
95-th percentile24.67074966
Maximum24.69712257
Range13.14433765
Interquartile range (IQR)9.603795052

Descriptive statistics

Standard deviation4.881112016
Coefficient of variation (CV)0.2850182112
Kurtosis-1.584984593
Mean17.12561452
Median Absolute Deviation (MAD)2.50415802
Skewness0.3990696397
Sum2603.093407
Variance23.82525451
MonotonicityNot monotonic
2024-03-27T11:54:24.337871image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
18.42288589 8
 
5.3%
14.21494293 8
 
5.3%
13.77833176 8
 
5.3%
13.15377998 8
 
5.3%
13.7145462 8
 
5.3%
13.23504162 8
 
5.3%
24.64917183 8
 
5.3%
22.40766716 8
 
5.3%
15.82984352 8
 
5.3%
12.43203259 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
11.55278492 8
5.3%
11.71078491 8
5.3%
12.43203259 8
5.3%
12.59835339 8
5.3%
12.80387211 8
5.3%
ValueCountFrequency (%)
24.69712257 8
5.3%
24.64917183 8
5.3%
23.77290726 8
5.3%
23.0055027 8
5.3%
22.40766716 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.64077558
Minimum8.993534088
Maximum18.80567169
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:24.497908image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum8.993534088
5-th percentile9.319878387
Q110.53879738
median12.54834938
Q317.33103371
95-th percentile18.55233126
Maximum18.80567169
Range9.812137604
Interquartile range (IQR)6.792236328

Descriptive statistics

Standard deviation3.372657333
Coefficient of variation (CV)0.2472482091
Kurtosis-1.559138019
Mean13.64077558
Median Absolute Deviation (MAD)2.222615242
Skewness0.2810286732
Sum2073.397888
Variance11.37481749
MonotonicityNot monotonic
2024-03-27T11:54:24.651368image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
14.69631004 8
 
5.3%
11.4274826 8
 
5.3%
11.18498898 8
 
5.3%
12.54834938 8
 
5.3%
11.64119625 8
 
5.3%
10.53879738 8
 
5.3%
18.04373932 8
 
5.3%
18.34505272 8
 
5.3%
12.96204376 8
 
5.3%
10.32573414 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
8.993534088 8
5.3%
9.58688736 8
5.3%
10.32573414 8
5.3%
10.46076965 8
5.3%
10.53879738 8
5.3%
ValueCountFrequency (%)
18.80567169 8
5.3%
18.34505272 8
5.3%
18.04373932 8
5.3%
18.04036331 8
5.3%
17.33103371 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-3.484838815
Minimum-6.605432987
Maximum-0.605429709
Zeros0
Zeros (%)0.0%
Negative152
Negative (%)100.0%
Memory size2.4 KiB
2024-03-27T11:54:24.797500image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-6.605432987
5-th percentile-6.212743092
Q1-5.215006828
median-2.787460327
Q3-2.106298447
95-th percentile-1.251867691
Maximum-0.605429709
Range6.000003278
Interquartile range (IQR)3.108708382

Descriptive statistics

Standard deviation1.65944435
Coefficient of variation (CV)-0.4761897
Kurtosis-1.009103131
Mean-3.484838815
Median Absolute Deviation (MAD)0.9391145706
Skewness-0.3783354147
Sum-529.6954999
Variance2.75375555
MonotonicityNot monotonic
2024-03-27T11:54:24.948086image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-3.726574898 8
 
5.3%
-2.787460327 8
 
5.3%
-2.593343019 8
 
5.3%
-0.605429709 8
 
5.3%
-2.073349714 8
 
5.3%
-2.696244478 8
 
5.3%
-6.605432987 8
 
5.3%
-4.062613964 8
 
5.3%
-2.867799997 8
 
5.3%
-2.106298447 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-6.605432987 8
5.3%
-5.891451359 8
5.3%
-5.732543945 8
5.3%
-5.67446804 8
5.3%
-5.215006828 8
5.3%
ValueCountFrequency (%)
-0.605429709 8
5.3%
-1.780771494 8
5.3%
-1.96589756 8
5.3%
-2.073349714 8
5.3%
-2.106298447 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.879733236
Minimum6.014602184
Maximum17.3463974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:25.109964image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum6.014602184
5-th percentile6.187041831
Q16.777650833
median8.052630424
Q313.14695358
95-th percentile15.59591284
Maximum17.3463974
Range11.33179522
Interquartile range (IQR)6.36930275

Descriptive statistics

Standard deviation3.449285469
Coefficient of variation (CV)0.349127389
Kurtosis-1.031470498
Mean9.879733236
Median Absolute Deviation (MAD)1.826034546
Skewness0.5772843617
Sum1501.719452
Variance11.89757025
MonotonicityNot monotonic
2024-03-27T11:54:25.270941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10.3427906 8
 
5.3%
8.052630424 8
 
5.3%
6.89112854 8
 
5.3%
7.489439011 8
 
5.3%
7.557461262 8
 
5.3%
6.716212749 8
 
5.3%
14.12432003 8
 
5.3%
17.3463974 8
 
5.3%
9.87866497 8
 
5.3%
6.777650833 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
6.014602184 8
5.3%
6.328128815 8
5.3%
6.661811352 8
5.3%
6.716212749 8
5.3%
6.777650833 8
5.3%
ValueCountFrequency (%)
17.3463974 8
5.3%
14.1636982 8
5.3%
14.12432003 8
5.3%
14.00816631 8
5.3%
13.14695358 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.342315222
Minimum5.23940134
Maximum14.65030479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:25.430748image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.23940134
5-th percentile5.5569628
Q16.523588181
median6.880306244
Q310.45002365
95-th percentile13.00274959
Maximum14.65030479
Range9.410903454
Interquartile range (IQR)3.926435471

Descriptive statistics

Standard deviation2.475250604
Coefficient of variation (CV)0.2967102703
Kurtosis-0.02447418287
Mean8.342315222
Median Absolute Deviation (MAD)1.532384872
Skewness0.8763225792
Sum1268.031914
Variance6.126865554
MonotonicityNot monotonic
2024-03-27T11:54:25.582099image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8.875471115 8
 
5.3%
6.880306244 8
 
5.3%
6.661538601 8
 
5.3%
6.678043365 8
 
5.3%
6.523588181 8
 
5.3%
6.503923416 8
 
5.3%
10.88544655 8
 
5.3%
14.65030479 8
 
5.3%
8.412691116 8
 
5.3%
5.816785812 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
5.23940134 8
5.3%
5.816785812 8
5.3%
5.948978901 8
5.3%
6.503923416 8
5.3%
6.523588181 8
5.3%
ValueCountFrequency (%)
14.65030479 8
5.3%
11.65474987 8
5.3%
11.16665077 8
5.3%
10.88544655 8
5.3%
10.45002365 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.537418
Minimum-3.812807798
Maximum0.6113532782
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)94.7%
Memory size2.4 KiB
2024-03-27T11:54:25.736640image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.812807798
5-th percentile-3.567455816
Q1-2.696092367
median-1.422410131
Q3-0.4036523402
95-th percentile0.1583498091
Maximum0.6113532782
Range4.424161077
Interquartile range (IQR)2.292440027

Descriptive statistics

Standard deviation1.200316332
Coefficient of variation (CV)-0.7807351888
Kurtosis-0.8785052449
Mean-1.537418
Median Absolute Deviation (MAD)1.043260157
Skewness-0.269354313
Sum-233.687536
Variance1.440759298
MonotonicityNot monotonic
2024-03-27T11:54:25.886424image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.467318773 8
 
5.3%
-1.1723243 8
 
5.3%
-0.2295896411 8
 
5.3%
-0.8113957644 8
 
5.3%
-1.033873081 8
 
5.3%
-0.2122893929 8
 
5.3%
-3.238873959 8
 
5.3%
-2.696092367 8
 
5.3%
-1.465973973 8
 
5.3%
-0.9608649015 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-3.812807798 8
5.3%
-3.366713285 8
5.3%
-3.238873959 8
5.3%
-2.696929932 8
5.3%
-2.696092367 8
5.3%
ValueCountFrequency (%)
0.6113532782 8
5.3%
-0.2122893929 8
5.3%
-0.2295896411 8
5.3%
-0.3791499734 8
5.3%
-0.4036523402 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.40340765
Minimum21.29980278
Maximum27.7506237
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:26.033948image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum21.29980278
5-th percentile21.34102592
Q122.90187263
median24.21030426
Q325.52084351
95-th percentile27.74332972
Maximum27.7506237
Range6.450820923
Interquartile range (IQR)2.618970871

Descriptive statistics

Standard deviation1.969276202
Coefficient of variation (CV)0.08069677112
Kurtosis-0.9134768298
Mean24.40340765
Median Absolute Deviation (MAD)1.308431625
Skewness0.01582732756
Sum3709.317963
Variance3.878048758
MonotonicityNot monotonic
2024-03-27T11:54:26.198542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
24.95555115 8
 
5.3%
22.90187263 8
 
5.3%
21.48115158 8
 
5.3%
24.21030426 8
 
5.3%
25.99068069 8
 
5.3%
22.2912159 8
 
5.3%
27.7506237 8
 
5.3%
24.15122032 8
 
5.3%
25.48424339 8
 
5.3%
21.37475395 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
21.29980278 8
5.3%
21.37475395 8
5.3%
21.48115158 8
5.3%
22.2912159 8
5.3%
22.90187263 8
5.3%
ValueCountFrequency (%)
27.7506237 8
5.3%
27.73736191 8
5.3%
27.00941849 8
5.3%
25.99068069 8
5.3%
25.52084351 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean23.71486463
Minimum20.11790657
Maximum27.40443039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:26.359522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum20.11790657
5-th percentile20.74440584
Q121.97555542
median23.7904377
Q325.75715828
95-th percentile26.90972328
Maximum27.40443039
Range7.286523819
Interquartile range (IQR)3.781602859

Descriptive statistics

Standard deviation2.037489921
Coefficient of variation (CV)0.08591615227
Kurtosis-1.112198215
Mean23.71486463
Median Absolute Deviation (MAD)1.839529037
Skewness0.1613522532
Sum3604.659424
Variance4.151365177
MonotonicityNot monotonic
2024-03-27T11:54:26.526894image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
22.59071159 8
 
5.3%
22.16773987 8
 
5.3%
20.11790657 8
 
5.3%
21.25699615 8
 
5.3%
25.71065712 8
 
5.3%
21.95090866 8
 
5.3%
26.2263813 8
 
5.3%
23.7904377 8
 
5.3%
27.40443039 8
 
5.3%
23.02567863 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
20.11790657 8
5.3%
21.25699615 8
5.3%
21.49530411 8
5.3%
21.95090866 8
5.3%
21.97555542 8
5.3%
ValueCountFrequency (%)
27.40443039 8
5.3%
26.50496292 8
5.3%
26.2263813 8
5.3%
26.0594902 8
5.3%
25.75715828 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.6885428899
Minimum-2.953308821
Maximum1.920187473
Zeros0
Zeros (%)0.0%
Negative104
Negative (%)68.4%
Memory size2.4 KiB
2024-03-27T11:54:26.691111image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.953308821
5-th percentile-2.916037548
Q1-1.98020339
median-0.7341310382
Q30.5663722754
95-th percentile1.772092283
Maximum1.920187473
Range4.873496294
Interquartile range (IQR)2.546575665

Descriptive statistics

Standard deviation1.464346158
Coefficient of variation (CV)-2.126731942
Kurtosis-1.012945996
Mean-0.6885428899
Median Absolute Deviation (MAD)1.246072352
Skewness0.08250513349
Sum-104.6585193
Variance2.14430967
MonotonicityNot monotonic
2024-03-27T11:54:26.854631image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-2.364839554 8
 
5.3%
-0.7341310382 8
 
5.3%
-1.363244653 8
 
5.3%
-2.953308821 8
 
5.3%
-0.2800226212 8
 
5.3%
-0.3403067589 8
 
5.3%
-1.524242759 8
 
5.3%
-0.3607839346 8
 
5.3%
1.920187473 8
 
5.3%
1.650923491 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-2.953308821 8
5.3%
-2.88554287 8
5.3%
-2.668943882 8
5.3%
-2.364839554 8
5.3%
-1.98020339 8
5.3%
ValueCountFrequency (%)
1.920187473 8
5.3%
1.650923491 8
5.3%
0.984120369 8
5.3%
0.9030163288 8
5.3%
0.5663722754 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.68674479
Minimum20.21814728
Maximum35.50159836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:27.005226image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum20.21814728
5-th percentile20.56353483
Q121.93793869
median25.65976906
Q328.27955246
95-th percentile33.73077602
Maximum35.50159836
Range15.28345108
Interquartile range (IQR)6.34161377

Descriptive statistics

Standard deviation3.874106991
Coefficient of variation (CV)0.1508212513
Kurtosis0.2724715109
Mean25.68674479
Median Absolute Deviation (MAD)3.105041504
Skewness0.765330634
Sum3904.385208
Variance15.00870498
MonotonicityNot monotonic
2024-03-27T11:54:27.176204image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
28.27955246 8
 
5.3%
20.21814728 8
 
5.3%
24.63901901 8
 
5.3%
35.50159836 8
 
5.3%
28.79445648 8
 
5.3%
27.5107975 8
 
5.3%
26.01869965 8
 
5.3%
28.76481056 8
 
5.3%
26.72166252 8
 
5.3%
21.9290905 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
20.21814728 8
5.3%
20.84612465 8
5.3%
21.81774521 8
5.3%
21.9290905 8
5.3%
21.93793869 8
5.3%
ValueCountFrequency (%)
35.50159836 8
5.3%
32.28192139 8
5.3%
28.79445648 8
5.3%
28.76481056 8
5.3%
28.27955246 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24.4241061
Minimum19.88443184
Maximum34.00624466
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:27.333375image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum19.88443184
5-th percentile20.20194845
Q122.46342468
median23.90545845
Q326.54141998
95-th percentile31.85829811
Maximum34.00624466
Range14.12181282
Interquartile range (IQR)4.0779953

Descriptive statistics

Standard deviation3.432926676
Coefficient of variation (CV)0.1405548544
Kurtosis1.163540793
Mean24.4241061
Median Absolute Deviation (MAD)1.834911346
Skewness1.134806146
Sum3712.464127
Variance11.78498556
MonotonicityNot monotonic
2024-03-27T11:54:27.490676image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
23.90545845 8
 
5.3%
21.31346512 8
 
5.3%
24.11687469 8
 
5.3%
34.00624466 8
 
5.3%
23.02320671 8
 
5.3%
27.10161591 8
 
5.3%
25.7403698 8
 
5.3%
27.45011711 8
 
5.3%
26.54141998 8
 
5.3%
20.46173477 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
19.88443184 8
5.3%
20.46173477 8
5.3%
20.65712738 8
5.3%
21.31346512 8
5.3%
22.46342468 8
5.3%
ValueCountFrequency (%)
34.00624466 8
5.3%
30.1008873 8
5.3%
27.45011711 8
5.3%
27.10161591 8
5.3%
26.54141998 8
5.3%
Distinct19
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2626386
Minimum-5.771249771
Maximum2.081608772
Zeros0
Zeros (%)0.0%
Negative120
Negative (%)78.9%
Memory size2.4 KiB
2024-03-27T11:54:27.651572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-5.771249771
5-th percentile-5.002814364
Q1-2.609120369
median-1.160617113
Q3-0.1802414656
95-th percentile1.826238441
Maximum2.081608772
Range7.852858543
Interquartile range (IQR)2.428878903

Descriptive statistics

Standard deviation2.020897761
Coefficient of variation (CV)-1.600535387
Kurtosis-0.3389209141
Mean-1.2626386
Median Absolute Deviation (MAD)1.020415068
Skewness-0.4067676186
Sum-191.9210672
Variance4.08402776
MonotonicityNot monotonic
2024-03-27T11:54:27.840178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-4.374094486 8
 
5.3%
1.095317364 8
 
5.3%
-0.5221441388 8
 
5.3%
-1.495355368 8
 
5.3%
-5.771249771 8
 
5.3%
-0.4091829062 8
 
5.3%
-0.2783298492 8
 
5.3%
-1.314693689 8
 
5.3%
-0.1802414656 8
 
5.3%
-1.467354536 8
 
5.3%
Other values (9) 72
47.4%
ValueCountFrequency (%)
-5.771249771 8
5.3%
-4.374094486 8
5.3%
-3.833348989 8
5.3%
-3.32261467 8
5.3%
-2.609120369 8
5.3%
ValueCountFrequency (%)
2.081608772 8
5.3%
1.61729908 8
5.3%
1.095317364 8
5.3%
0.9236201644 8
5.3%
-0.1802414656 8
5.3%

hou_pol_hudunit_psh_hud_share
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.757949137
Minimum1.349226952
Maximum6.948431015
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:28.021628image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.349226952
5-th percentile1.522996473
Q12.776116133
median3.829386473
Q34.761392593
95-th percentile5.967077351
Maximum6.948431015
Range5.599204063
Interquartile range (IQR)1.985276461

Descriptive statistics

Standard deviation1.407836794
Coefficient of variation (CV)0.3746290177
Kurtosis-0.7903211983
Mean3.757949137
Median Absolute Deviation (MAD)1.032562613
Skewness0.09142432748
Sum571.2082688
Variance1.982004437
MonotonicityNot monotonic
2024-03-27T11:54:28.211234image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.909599304 1
 
0.7%
2.275604486 1
 
0.7%
2.508095741 1
 
0.7%
2.793432236 1
 
0.7%
5.656475067 1
 
0.7%
1.676680326 1
 
0.7%
4.190038681 1
 
0.7%
3.22939682 1
 
0.7%
5.874703884 1
 
0.7%
2.383507967 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
1.349226952 1
0.7%
1.358066082 1
0.7%
1.38593936 1
0.7%
1.394247532 1
0.7%
1.402157784 1
0.7%
ValueCountFrequency (%)
6.948431015 1
0.7%
6.653469086 1
0.7%
6.577176094 1
0.7%
6.260152817 1
0.7%
6.20333147 1
0.7%
Distinct151
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3427820854
Minimum0.06576198339
Maximum1.62963295
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:28.402506image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.06576198339
5-th percentile0.1047905061
Q10.1991538741
median0.2872947901
Q30.4432592168
95-th percentile0.7336306006
Maximum1.62963295
Range1.563870966
Interquartile range (IQR)0.2441053428

Descriptive statistics

Standard deviation0.2265882497
Coefficient of variation (CV)0.6610271054
Kurtosis8.370363184
Mean0.3427820854
Median Absolute Deviation (MAD)0.1156349704
Skewness2.252407727
Sum52.10287698
Variance0.0513422349
MonotonicityNot monotonic
2024-03-27T11:54:28.611987image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1563891917 2
 
1.3%
0.3198626339 1
 
0.7%
0.1771192402 1
 
0.7%
0.1461145878 1
 
0.7%
0.1533636302 1
 
0.7%
0.198641181 1
 
0.7%
0.3521001935 1
 
0.7%
0.2120026648 1
 
0.7%
0.394330442 1
 
0.7%
0.1498621106 1
 
0.7%
Other values (141) 141
92.8%
ValueCountFrequency (%)
0.06576198339 1
0.7%
0.09188403189 1
0.7%
0.09244105965 1
0.7%
0.09308958799 1
0.7%
0.09403651208 1
0.7%
ValueCountFrequency (%)
1.62963295 1
0.7%
1.32381773 1
0.7%
1.060043693 1
0.7%
0.8785867095 1
0.7%
0.8556907177 1
0.7%

urban_cat
Real number (ℝ)

Distinct3
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.947368421
Minimum1
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:28.780350image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q32
95-th percentile3
Maximum3
Range2
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.6885003733
Coefficient of variation (CV)0.3535542457
Kurtosis-0.8676091591
Mean1.947368421
Median Absolute Deviation (MAD)0
Skewness0.06834974294
Sum296
Variance0.474032764
MonotonicityNot monotonic
2024-03-27T11:54:29.100737image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=3)
ValueCountFrequency (%)
2 80
52.6%
1 40
26.3%
3 32
 
21.1%
ValueCountFrequency (%)
1 40
26.3%
2 80
52.6%
3 32
 
21.1%
ValueCountFrequency (%)
3 32
 
21.1%
2 80
52.6%
1 40
26.3%

state
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15
Minimum15
Maximum15
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:29.244472image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile15
Q115
median15
Q315
95-th percentile15
Maximum15
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean15
Median Absolute Deviation (MAD)0
Skewness0
Sum2280
Variance0
MonotonicityIncreasing
2024-03-27T11:54:29.379316image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
15 152
100.0%
ValueCountFrequency (%)
15 152
100.0%
ValueCountFrequency (%)
15 152
100.0%

evict_file_flag
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01973684211
Minimum0
Maximum1
Zeros149
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:29.514253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1395543872
Coefficient of variation (CV)7.070755617
Kurtosis47.26658439
Mean0.01973684211
Median Absolute Deviation (MAD)0
Skewness6.974580686
Sum3
Variance0.01947542698
MonotonicityNot monotonic
2024-03-27T11:54:29.657519image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
0 149
98.0%

evict_flag
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01973684211
Minimum0
Maximum1
Zeros149
Zeros (%)98.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:29.798375image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1395543872
Coefficient of variation (CV)7.070755617
Kurtosis47.26658439
Mean0.01973684211
Median Absolute Deviation (MAD)0
Skewness6.974580686
Sum3
Variance0.01947542698
MonotonicityNot monotonic
2024-03-27T11:54:29.942325image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
0 149
98.0%
1 3
 
2.0%
ValueCountFrequency (%)
1 3
 
2.0%
0 149
98.0%

fedfundcoc_flag
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:30.079186image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:30.245673image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

hou_mkt_density_dummy
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1578947368
Minimum0
Maximum1
Zeros128
Zeros (%)84.2%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:30.380741image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3658477076
Coefficient of variation (CV)2.317035481
Kurtosis1.61260906
Mean0.1578947368
Median Absolute Deviation (MAD)0
Skewness1.895141937
Sum24
Variance0.1338445451
MonotonicityNot monotonic
2024-03-27T11:54:30.521295image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 128
84.2%
1 24
 
15.8%
ValueCountFrequency (%)
0 128
84.2%
1 24
 
15.8%
ValueCountFrequency (%)
1 24
 
15.8%
0 128
84.2%

hou_mkt_homeval_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean160.224872
Minimum88.76148987
Maximum309.7999878
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:30.684223image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88.76148987
5-th percentile90.22849846
Q1113.8548508
median129.7961121
Q3215.8000031
95-th percentile281.5499954
Maximum309.7999878
Range221.0384979
Interquartile range (IQR)101.9451523

Descriptive statistics

Standard deviation64.29365278
Coefficient of variation (CV)0.4012713631
Kurtosis-0.6983656012
Mean160.224872
Median Absolute Deviation (MAD)34.58505249
Skewness0.7754349693
Sum12177.09027
Variance4133.673788
MonotonicityNot monotonic
2024-03-27T11:54:30.859861image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
120.9000015 2
 
1.3%
113.8548508 2
 
1.3%
124.3000031 2
 
1.3%
256.8999939 2
 
1.3%
241.6000061 2
 
1.3%
309.7999878 2
 
1.3%
234.0657349 2
 
1.3%
188.1000061 2
 
1.3%
92.30000305 2
 
1.3%
88.95613861 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
88.76148987 2
1.3%
88.95613861 2
1.3%
90.65261841 2
1.3%
92.30000305 2
1.3%
94.72212219 2
1.3%
ValueCountFrequency (%)
309.7999878 2
1.3%
283.5 2
1.3%
280.8999939 2
1.3%
256.8999939 2
1.3%
246.6999969 2
1.3%

hou_mkt_burden_own_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean24.49421913
Minimum14.82628822
Maximum39.75406647
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:31.032100image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum14.82628822
5-th percentile16.0117631
Q118.21459579
median21.32337093
Q328.98578262
95-th percentile38.72233868
Maximum39.75406647
Range24.92777824
Interquartile range (IQR)10.77118683

Descriptive statistics

Standard deviation7.544266302
Coefficient of variation (CV)0.3080019111
Kurtosis-0.8524891517
Mean24.49421913
Median Absolute Deviation (MAD)4.332893372
Skewness0.6772648588
Sum1861.560654
Variance56.91595404
MonotonicityNot monotonic
2024-03-27T11:54:31.219425image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
19.95125389 2
 
1.3%
22.26757431 2
 
1.3%
21.27200699 2
 
1.3%
39.75406647 2
 
1.3%
38.77349091 2
 
1.3%
34.93495178 2
 
1.3%
36.91986084 2
 
1.3%
33.6791687 2
 
1.3%
17.72538757 2
 
1.3%
19.20968246 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
14.82628822 2
1.3%
15.61948967 2
1.3%
16.1425209 2
1.3%
16.76656151 2
1.3%
17.04272079 2
1.3%
ValueCountFrequency (%)
39.75406647 2
1.3%
38.77349091 2
1.3%
38.70528793 2
1.3%
37.1692009 2
1.3%
36.91986084 2
1.3%

hou_mkt_burden_sev_own_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean9.111024229
Minimum5.23940134
Maximum17.3463974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:31.394900image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.23940134
5-th percentile5.915930629
Q16.661538601
median7.805045843
Q311.16665077
95-th percentile14.28534985
Maximum17.3463974
Range12.10699606
Interquartile range (IQR)4.505112171

Descriptive statistics

Standard deviation3.109837896
Coefficient of variation (CV)0.3413269263
Kurtosis-0.3154675053
Mean9.111024229
Median Absolute Deviation (MAD)1.633680344
Skewness0.8559938568
Sum692.4378414
Variance9.671091738
MonotonicityNot monotonic
2024-03-27T11:54:31.579941image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6.716212749 2
 
1.3%
8.052630424 2
 
1.3%
7.557461262 2
 
1.3%
17.3463974 2
 
1.3%
14.12432003 2
 
1.3%
13.1097374 2
 
1.3%
13.14695358 2
 
1.3%
12.09728241 2
 
1.3%
6.014602184 2
 
1.3%
6.777650833 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
5.23940134 2
1.3%
5.816785812 2
1.3%
5.948978901 2
1.3%
6.014602184 2
1.3%
6.328128815 2
1.3%
ValueCountFrequency (%)
17.3463974 2
1.3%
14.65030479 2
1.3%
14.1636982 2
1.3%
14.12432003 2
1.3%
14.00816631 2
1.3%

hou_mkt_burden_rent_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean49.11456148
Minimum42.08724976
Maximum59.71190262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:31.753612image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum42.08724976
5-th percentile42.87812138
Q145.01758575
median48.87302399
Q352.91603088
95-th percentile55.40758801
Maximum59.71190262
Range17.62465286
Interquartile range (IQR)7.898445129

Descriptive statistics

Standard deviation4.3990598
Coefficient of variation (CV)0.08956732316
Kurtosis-0.7428228048
Mean49.11456148
Median Absolute Deviation (MAD)3.892190933
Skewness0.2118020951
Sum3732.706673
Variance19.35172713
MonotonicityNot monotonic
2024-03-27T11:54:31.936194image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
49.8020134 2
 
1.3%
43.12001801 2
 
1.3%
54.78513718 2
 
1.3%
52.91603088 2
 
1.3%
53.76932526 2
 
1.3%
47.85554504 2
 
1.3%
51.15288544 2
 
1.3%
55.84062958 2
 
1.3%
47.61708832 2
 
1.3%
43.30384445 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
42.08724976 2
1.3%
42.15243149 2
1.3%
43.12001801 2
1.3%
43.30384445 2
1.3%
43.48120499 2
1.3%
ValueCountFrequency (%)
59.71190262 2
1.3%
55.84062958 2
1.3%
55.26324081 2
1.3%
54.78513718 2
1.3%
54.04885101 2
1.3%

hou_mkt_burden_sev_rent_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean25.05542544
Minimum19.88443184
Maximum35.50159836
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:32.193282image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum19.88443184
5-th percentile20.4008379
Q122.33360672
median24.52711773
Q327.10161591
95-th percentile32.7130022
Maximum35.50159836
Range15.61716652
Interquartile range (IQR)4.768009186

Descriptive statistics

Standard deviation3.726933844
Coefficient of variation (CV)0.1487475777
Kurtosis0.680854747
Mean25.05542544
Median Absolute Deviation (MAD)2.384521484
Skewness0.951917702
Sum1904.212334
Variance13.89003588
MonotonicityNot monotonic
2024-03-27T11:54:32.380516image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
27.5107975 2
 
1.3%
20.21814728 2
 
1.3%
28.79445648 2
 
1.3%
28.76481056 2
 
1.3%
26.01869965 2
 
1.3%
20.84612465 2
 
1.3%
25.65976906 2
 
1.3%
32.28192139 2
 
1.3%
22.33360672 2
 
1.3%
21.9290905 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
19.88443184 2
1.3%
20.21814728 2
1.3%
20.46173477 2
1.3%
20.65712738 2
1.3%
20.84612465 2
1.3%
ValueCountFrequency (%)
35.50159836 2
1.3%
34.00624466 2
1.3%
32.28192139 2
1.3%
30.1008873 2
1.3%
28.79445648 2
1.3%

hou_mkt_homeage_xt
Real number (ℝ)

MISSING 

Distinct33
Distinct (%)43.4%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1971.032641
Minimum1957
Maximum1991.061646
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:32.556197image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1957
5-th percentile1958.157837
Q11963.921021
median1970.589783
Q31977
95-th percentile1987.941864
Maximum1991.061646
Range34.06164551
Interquartile range (IQR)13.07897949

Descriptive statistics

Standard deviation9.026063101
Coefficient of variation (CV)0.004579357497
Kurtosis-0.4323451951
Mean1971.032641
Median Absolute Deviation (MAD)6.410217285
Skewness0.4764224297
Sum149798.4807
Variance81.46981511
MonotonicityNot monotonic
2024-03-27T11:54:32.735259image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
1977 6
 
3.9%
1980 4
 
2.6%
1975 4
 
2.6%
1971 4
 
2.6%
1972 2
 
1.3%
1978 2
 
1.3%
1957 2
 
1.3%
1990.767456 2
 
1.3%
1958.210449 2
 
1.3%
1961 2
 
1.3%
Other values (23) 46
30.3%
(Missing) 76
50.0%
ValueCountFrequency (%)
1957 2
1.3%
1958 2
1.3%
1958.210449 2
1.3%
1959.15564 2
1.3%
1960.370972 2
1.3%
ValueCountFrequency (%)
1991.061646 2
1.3%
1990.767456 2
1.3%
1987 2
1.3%
1986 2
1.3%
1981 2
1.3%

hou_mkt_homeage1940_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean18.16326105
Minimum5.659364223
Maximum31.59661674
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:32.916880image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.659364223
5-th percentile7.220142007
Q113.84617996
median17.28574753
Q323.57779312
95-th percentile31.24411392
Maximum31.59661674
Range25.93725252
Interquartile range (IQR)9.731613159

Descriptive statistics

Standard deviation7.504814432
Coefficient of variation (CV)0.4131865094
Kurtosis-0.7642027676
Mean18.16326105
Median Absolute Deviation (MAD)4.467230797
Skewness0.2316258339
Sum1380.40784
Variance56.32223966
MonotonicityNot monotonic
2024-03-27T11:54:33.101774image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
16.55415916 2
 
1.3%
31.59661674 2
 
1.3%
17.5345993 2
 
1.3%
31.1909256 2
 
1.3%
16.13511658 2
 
1.3%
6.109918118 2
 
1.3%
7.728785992 2
 
1.3%
17.85048485 2
 
1.3%
21.03762245 2
 
1.3%
26.07308388 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
5.659364223 2
1.3%
6.109918118 2
1.3%
7.590216637 2
1.3%
7.728785992 2
1.3%
8.647956848 2
1.3%
ValueCountFrequency (%)
31.59661674 2
1.3%
31.40367889 2
1.3%
31.1909256 2
1.3%
30.36918259 2
1.3%
29.95318222 2
1.3%

hou_mkt_medrent_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.537891231
Minimum3.97610116
Maximum10.72999954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:33.274341image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.97610116
5-th percentile4.060978055
Q15.119999886
median5.980000019
Q38.289999962
95-th percentile9.452499866
Maximum10.72999954
Range6.753898382
Interquartile range (IQR)3.170000076

Descriptive statistics

Standard deviation1.87859579
Coefficient of variation (CV)0.2873397129
Kurtosis-0.9980986468
Mean6.537891231
Median Absolute Deviation (MAD)1.39887929
Skewness0.4985266881
Sum496.8797336
Variance3.52912214
MonotonicityNot monotonic
2024-03-27T11:54:33.454978image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
5.389999866 2
 
1.3%
4.632241249 2
 
1.3%
5.519999981 2
 
1.3%
8.100000381 2
 
1.3%
8.289999962 2
 
1.3%
9.449999809 2
 
1.3%
8.029385567 2
 
1.3%
6.829999924 2
 
1.3%
4.710000038 2
 
1.3%
3.97610116 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
3.97610116 2
1.3%
4.044566154 2
1.3%
4.066448689 2
1.3%
4.386217117 2
1.3%
4.502141953 2
1.3%
ValueCountFrequency (%)
10.72999954 2
1.3%
9.460000038 2
1.3%
9.449999809 2
1.3%
9.409999847 2
1.3%
9.115392685 2
1.3%

hou_mkt_utility_xt
Real number (ℝ)

MISSING 

Distinct37
Distinct (%)48.7%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean15.11301593
Minimum10.19999981
Maximum22.10000038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:33.637140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum10.19999981
5-th percentile11.32500029
Q113.39999962
median14.90374136
Q316.5653019
95-th percentile20.2249999
Maximum22.10000038
Range11.90000057
Interquartile range (IQR)3.165302277

Descriptive statistics

Standard deviation2.607393091
Coefficient of variation (CV)0.1725263245
Kurtosis0.6049841935
Mean15.11301593
Median Absolute Deviation (MAD)1.553741455
Skewness0.5902072974
Sum1148.589211
Variance6.798498729
MonotonicityNot monotonic
2024-03-27T11:54:33.825275image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
12.19999981 4
 
2.6%
16.39999962 2
 
1.3%
15.30633259 2
 
1.3%
19.89999962 2
 
1.3%
12.30000019 2
 
1.3%
10.19999981 2
 
1.3%
15.41069221 2
 
1.3%
12.60000038 2
 
1.3%
16.29999924 2
 
1.3%
18.21614265 2
 
1.3%
Other values (27) 54
35.5%
(Missing) 76
50.0%
ValueCountFrequency (%)
10.19999981 2
1.3%
10.5 2
1.3%
11.60000038 2
1.3%
12.19999981 4
2.6%
12.30000019 2
1.3%
ValueCountFrequency (%)
22.10000038 2
1.3%
21.20000076 2
1.3%
19.89999962 2
1.3%
18.21614265 2
1.3%
17.4648838 2
1.3%

hou_mkt_rentshare_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean29.00672333
Minimum15.80192471
Maximum45.42205429
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:33.994668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum15.80192471
5-th percentile18.47842884
Q125.58545685
median27.63141632
Q330.94962311
95-th percentile43.77264404
Maximum45.42205429
Range29.62012959
Interquartile range (IQR)5.36416626

Descriptive statistics

Standard deviation7.089140512
Coefficient of variation (CV)0.2443964605
Kurtosis0.4368861731
Mean29.00672333
Median Absolute Deviation (MAD)3.053672791
Skewness0.7172817714
Sum2204.510973
Variance50.2559132
MonotonicityNot monotonic
2024-03-27T11:54:34.169663image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
29.10751915 2
 
1.3%
25.58545685 2
 
1.3%
25.63019753 2
 
1.3%
40.21762848 2
 
1.3%
23.42503929 2
 
1.3%
24.149786 2
 
1.3%
15.80192471 2
 
1.3%
37.22080612 2
 
1.3%
29.89364624 2
 
1.3%
23.9250946 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
15.80192471 2
1.3%
16.15802765 2
1.3%
19.2518959 2
1.3%
21.05822372 2
1.3%
22.3841095 2
1.3%
ValueCountFrequency (%)
45.42205429 2
1.3%
44.97650528 2
1.3%
43.37135696 2
1.3%
42.54824066 2
1.3%
40.21762848 2
1.3%

hou_mkt_rentvacancy_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean6.315952414
Minimum3.939752579
Maximum8.690939903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:34.346698image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.939752579
5-th percentile4.291667461
Q14.944854736
median6.501469374
Q37.276702881
95-th percentile8.158909559
Maximum8.690939903
Range4.751187325
Interquartile range (IQR)2.331848145

Descriptive statistics

Standard deviation1.325787125
Coefficient of variation (CV)0.2099108792
Kurtosis-1.089387864
Mean6.315952414
Median Absolute Deviation (MAD)0.9061322212
Skewness-0.1896946398
Sum480.0123835
Variance1.757711499
MonotonicityNot monotonic
2024-03-27T11:54:34.527559image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6.985350132 2
 
1.3%
5.930202007 2
 
1.3%
5.719941616 2
 
1.3%
7.918854237 2
 
1.3%
6.327153206 2
 
1.3%
7.47319746 2
 
1.3%
7.425803661 2
 
1.3%
3.939752579 2
 
1.3%
7.984867573 2
 
1.3%
5.778486252 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
3.939752579 2
1.3%
4.144701004 2
1.3%
4.340656281 2
1.3%
4.37416172 2
1.3%
4.394266129 2
1.3%
ValueCountFrequency (%)
8.690939903 2
1.3%
8.182360649 2
1.3%
8.151092529 2
1.3%
7.984867573 2
1.3%
7.984113693 2
1.3%

hou_mkt_ovrcrowd_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.891332234
Minimum1.045657635
Maximum3.993253469
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:34.871422image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.045657635
5-th percentile1.125561029
Q11.343472719
median1.479740202
Q32.386817217
95-th percentile3.751687229
Maximum3.993253469
Range2.947595835
Interquartile range (IQR)1.043344498

Descriptive statistics

Standard deviation0.8408546401
Coefficient of variation (CV)0.4445832545
Kurtosis0.4882577173
Mean1.891332234
Median Absolute Deviation (MAD)0.2941423059
Skewness1.282527405
Sum143.7412498
Variance0.7070365258
MonotonicityNot monotonic
2024-03-27T11:54:35.053384image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1.504452705 2
 
1.3%
1.201186299 2
 
1.3%
1.15551722 2
 
1.3%
3.833373547 2
 
1.3%
3.724458456 2
 
1.3%
2.00237751 2
 
1.3%
1.742524266 2
 
1.3%
2.69921875 2
 
1.3%
1.088224769 2
 
1.3%
1.237950563 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
1.045657635 2
1.3%
1.088224769 2
1.3%
1.138006449 2
1.3%
1.15551722 2
1.3%
1.170009494 2
1.3%
ValueCountFrequency (%)
3.993253469 2
1.3%
3.833373547 2
1.3%
3.724458456 2
1.3%
3.627627611 2
1.3%
3.301758051 2
1.3%

econ_labor_midskill_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean92.43653528
Minimum88.60881042
Maximum94.95252228
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:35.232365image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum88.60881042
5-th percentile89.62173653
Q191.63079071
median92.80430984
Q393.38044739
95-th percentile94.29318237
Maximum94.95252228
Range6.343711853
Interquartile range (IQR)1.749656677

Descriptive statistics

Standard deviation1.372121098
Coefficient of variation (CV)0.0148439261
Kurtosis0.5835764735
Mean92.43653528
Median Absolute Deviation (MAD)0.8738327026
Skewness-0.800474398
Sum7025.176682
Variance1.882716308
MonotonicityNot monotonic
2024-03-27T11:54:35.405669image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
93.16413116 2
 
1.3%
92.95384979 2
 
1.3%
92.16923523 2
 
1.3%
88.60881042 2
 
1.3%
91.27014923 2
 
1.3%
91.96070099 2
 
1.3%
91.49060822 2
 
1.3%
91.74479675 2
 
1.3%
92.51956177 2
 
1.3%
93.08629608 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
88.60881042 2
1.3%
89.47058868 2
1.3%
89.67211914 2
1.3%
90.61821747 2
1.3%
90.99871826 2
1.3%
ValueCountFrequency (%)
94.95252228 2
1.3%
94.29549408 2
1.3%
94.2924118 2
1.3%
93.81417847 2
1.3%
93.80654907 2
1.3%

econ_labor_incineq_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean44.28241097
Minimum38.05959702
Maximum50.48000336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:35.584733image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum38.05959702
5-th percentile39.83500099
Q142.67617798
median43.82499886
Q345.64999771
95-th percentile49.3399992
Maximum50.48000336
Range12.42040634
Interquartile range (IQR)2.973819733

Descriptive statistics

Standard deviation2.811260891
Coefficient of variation (CV)0.06348482003
Kurtosis0.1349234703
Mean44.28241097
Median Absolute Deviation (MAD)1.236644745
Skewness0.296352693
Sum3365.463234
Variance7.903187798
MonotonicityNot monotonic
2024-03-27T11:54:35.780167image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
43.68999863 2
 
1.3%
41.98192215 2
 
1.3%
43.34999847 2
 
1.3%
49.07999802 2
 
1.3%
42.29999924 2
 
1.3%
44.54000092 2
 
1.3%
38.05959702 2
 
1.3%
42.6099968 2
 
1.3%
45.79999924 2
 
1.3%
42.56671143 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
38.05959702 2
1.3%
39.22000122 2
1.3%
40.04000092 2
1.3%
40.13672638 2
1.3%
41.98192215 2
1.3%
ValueCountFrequency (%)
50.48000336 2
1.3%
50 2
1.3%
49.11999893 2
1.3%
49.07999802 2
1.3%
48.43999863 2
1.3%

econ_sn_cashasst_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.967935763
Minimum1.159759879
Maximum3.262578964
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:35.953289image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.159759879
5-th percentile1.334265113
Q11.601243615
median1.903179228
Q32.160377979
95-th percentile3.080936134
Maximum3.262578964
Range2.102819085
Interquartile range (IQR)0.5591343641

Descriptive statistics

Standard deviation0.5262548621
Coefficient of variation (CV)0.2674146545
Kurtosis0.2177493374
Mean1.967935763
Median Absolute Deviation (MAD)0.2899453044
Skewness0.8880126828
Sum149.563118
Variance0.2769441799
MonotonicityNot monotonic
2024-03-27T11:54:36.125493image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
2.155977964 2
 
1.3%
1.695773244 2
 
1.3%
1.601243615 2
 
1.3%
2.902410746 2
 
1.3%
1.876386285 2
 
1.3%
1.256662369 2
 
1.3%
1.411961913 2
 
1.3%
1.360132694 2
 
1.3%
1.918416858 2
 
1.3%
1.402268052 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
1.159759879 2
1.3%
1.256662369 2
1.3%
1.360132694 2
1.3%
1.400872946 2
1.3%
1.402268052 2
1.3%
ValueCountFrequency (%)
3.262578964 2
1.3%
3.15540123 2
1.3%
3.056114435 2
1.3%
2.902410746 2
1.3%
2.746321917 2
1.3%

dem_soc_ed_bach_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean30.75322016
Minimum18.11373138
Maximum50.22605515
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:36.290522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18.11373138
5-th percentile19.74420166
Q123.34812927
median28.81120014
Q335.24833298
95-th percentile47.1744318
Maximum50.22605515
Range32.11232376
Interquartile range (IQR)11.9002037

Descriptive statistics

Standard deviation8.827183257
Coefficient of variation (CV)0.2870328119
Kurtosis-0.5064144459
Mean30.75322016
Median Absolute Deviation (MAD)5.953437805
Skewness0.6143103758
Sum2337.244732
Variance77.91916425
MonotonicityNot monotonic
2024-03-27T11:54:36.466550image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
34.06420517 2
 
1.3%
19.9637661 2
 
1.3%
25.69106865 2
 
1.3%
36.43923569 2
 
1.3%
33.57281494 2
 
1.3%
49.04952621 2
 
1.3%
33.01286316 2
 
1.3%
30.48915863 2
 
1.3%
22.70139694 2
 
1.3%
18.11373138 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
18.11373138 2
1.3%
19.27613831 2
1.3%
19.90022278 2
1.3%
19.9637661 2
1.3%
20.48452759 2
1.3%
ValueCountFrequency (%)
50.22605515 2
1.3%
49.04952621 2
1.3%
46.54940033 2
1.3%
45.12101364 2
1.3%
45.00996017 2
1.3%

dem_soc_ed_somecoll_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean33.19896583
Minimum25.61978149
Maximum39.45637894
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:36.642465image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum25.61978149
5-th percentile26.34414482
Q129.26347542
median33.75597382
Q336.33563232
95-th percentile38.69051552
Maximum39.45637894
Range13.83659744
Interquartile range (IQR)7.072156906

Descriptive statistics

Standard deviation4.136873672
Coefficient of variation (CV)0.1246085102
Kurtosis-0.9968551645
Mean33.19896583
Median Absolute Deviation (MAD)2.588939667
Skewness-0.4284326229
Sum2523.121403
Variance17.11372378
MonotonicityNot monotonic
2024-03-27T11:54:36.827448image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
33.66880035 2
 
1.3%
36.32542038 2
 
1.3%
36.43442535 2
 
1.3%
26.34528542 2
 
1.3%
27.71100616 2
 
1.3%
26.84860611 2
 
1.3%
32.86307907 2
 
1.3%
36.33563232 2
 
1.3%
35.09782791 2
 
1.3%
36.18358612 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
25.61978149 2
1.3%
26.34072304 2
1.3%
26.34528542 2
1.3%
26.38585854 2
1.3%
26.69413948 2
1.3%
ValueCountFrequency (%)
39.45637894 2
1.3%
38.73550797 2
1.3%
38.67551804 2
1.3%
38.29223633 2
1.3%
38.08813477 2
1.3%

dem_soc_ed_hsgrad_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean27.23287582
Minimum16.50304413
Maximum36.68211746
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:37.007800image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum16.50304413
5-th percentile18.87919569
Q123.21832275
median26.65940857
Q331.27508163
95-th percentile35.38657284
Maximum36.68211746
Range20.17907333
Interquartile range (IQR)8.056758881

Descriptive statistics

Standard deviation5.420847287
Coefficient of variation (CV)0.199055264
Kurtosis-0.9395534519
Mean27.23287582
Median Absolute Deviation (MAD)4.409655571
Skewness-0.1434428891
Sum2069.698563
Variance29.3855853
MonotonicityNot monotonic
2024-03-27T11:54:37.200081image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
25.44342041 2
 
1.3%
34.15045929 2
 
1.3%
30.81472588 2
 
1.3%
23.21832275 2
 
1.3%
22.35329819 2
 
1.3%
17.2563591 2
 
1.3%
26.22402382 2
 
1.3%
26.10686684 2
 
1.3%
32.27416992 2
 
1.3%
36.68211746 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
16.50304413 2
1.3%
17.2563591 2
1.3%
19.42014122 2
1.3%
19.53037834 2
1.3%
19.70129395 2
1.3%
ValueCountFrequency (%)
36.68211746 2
1.3%
35.57501984 2
1.3%
35.32375717 2
1.3%
34.47052383 2
1.3%
34.15045929 2
1.3%

dem_soc_ed_lesshs_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean8.814938407
Minimum4.485832691
Maximum16.64740372
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:37.385930image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.485832691
5-th percentile5.687667012
Q16.845509052
median8.170232058
Q39.728827477
95-th percentile14.58858705
Maximum16.64740372
Range12.16157103
Interquartile range (IQR)2.883318424

Descriptive statistics

Standard deviation2.717307186
Coefficient of variation (CV)0.3082616191
Kurtosis1.600826784
Mean8.814938407
Median Absolute Deviation (MAD)1.350336075
Skewness1.263781891
Sum669.9353189
Variance7.383758342
MonotonicityNot monotonic
2024-03-27T11:54:37.572304image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
6.823574066 2
 
1.3%
9.560351372 2
 
1.3%
7.059779644 2
 
1.3%
13.9971571 2
 
1.3%
16.36287689 2
 
1.3%
6.845509052 2
 
1.3%
7.90003252 2
 
1.3%
7.068342686 2
 
1.3%
9.926606178 2
 
1.3%
9.020565033 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
4.485832691 2
1.3%
5.509477139 2
1.3%
5.747063637 2
1.3%
6.020905018 2
1.3%
6.494504929 2
1.3%
ValueCountFrequency (%)
16.64740372 2
1.3%
16.36287689 2
1.3%
13.9971571 2
1.3%
12.50326061 2
1.3%
12.34086514 2
1.3%

dem_health_ins_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)50.0%
Missing114
Missing (%)75.0%
Infinite0
Infinite (%)0.0%
Mean92.06637493
Minimum87.41764832
Maximum94.02677155
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:37.734867image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum87.41764832
5-th percentile88.58232574
Q191.65358353
median92.58811951
Q393.18400574
95-th percentile93.55061798
Maximum94.02677155
Range6.60912323
Interquartile range (IQR)1.530422211

Descriptive statistics

Standard deviation1.628146059
Coefficient of variation (CV)0.01768448101
Kurtosis2.297690793
Mean92.06637493
Median Absolute Deviation (MAD)0.7683486938
Skewness-1.594679323
Sum3498.522247
Variance2.650859591
MonotonicityNot monotonic
2024-03-27T11:54:37.887921image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
88.78785706 2
 
1.3%
93.13827515 2
 
1.3%
90.8423996 2
 
1.3%
90.95149994 2
 
1.3%
94.02677155 2
 
1.3%
92.65538025 2
 
1.3%
93.46659088 2
 
1.3%
93.29000092 2
 
1.3%
92.48010254 2
 
1.3%
91.75048828 2
 
1.3%
Other values (9) 18
 
11.8%
(Missing) 114
75.0%
ValueCountFrequency (%)
87.41764832 2
1.3%
88.78785706 2
1.3%
90.8423996 2
1.3%
90.95149994 2
1.3%
91.65053558 2
1.3%
ValueCountFrequency (%)
94.02677155 2
1.3%
93.46659088 2
1.3%
93.3564682 2
1.3%
93.29000092 2
1.3%
93.19924927 2
1.3%

dem_soc_singadult_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean27.58393744
Minimum18.85474205
Maximum34.27065659
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:38.056626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum18.85474205
5-th percentile19.95737171
Q125.10096169
median28.35119057
Q330.63814926
95-th percentile33.16823101
Maximum34.27065659
Range15.41591454
Interquartile range (IQR)5.537187576

Descriptive statistics

Standard deviation4.31915342
Coefficient of variation (CV)0.1565821931
Kurtosis-0.6929858383
Mean27.58393744
Median Absolute Deviation (MAD)2.605269432
Skewness-0.5802644858
Sum2096.379246
Variance18.65508626
MonotonicityNot monotonic
2024-03-27T11:54:38.243585image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
31.81674767 2
 
1.3%
29.13119125 2
 
1.3%
26.67521858 2
 
1.3%
31.85591316 2
 
1.3%
20.40193939 2
 
1.3%
24.40093994 2
 
1.3%
18.85474205 2
 
1.3%
25.44526482 2
 
1.3%
33.11344528 2
 
1.3%
28.40815163 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
18.85474205 2
1.3%
19.73495865 2
1.3%
20.0315094 2
1.3%
20.40193939 2
1.3%
20.53056526 2
1.3%
ValueCountFrequency (%)
34.27065659 2
1.3%
33.3325882 2
1.3%
33.11344528 2
1.3%
33.01901245 2
1.3%
32.55858612 2
1.3%

dem_soc_singparent_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean24.13933709
Minimum13.4151268
Maximum39.6139946
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:38.428771image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum13.4151268
5-th percentile14.53709388
Q118.96032333
median24.08633041
Q329.58310318
95-th percentile34.64376736
Maximum39.6139946
Range26.1988678
Interquartile range (IQR)10.62277985

Descriptive statistics

Standard deviation6.347969735
Coefficient of variation (CV)0.2629719993
Kurtosis-0.4607312513
Mean24.13933709
Median Absolute Deviation (MAD)5.149334908
Skewness0.2801038592
Sum1834.589619
Variance40.29671976
MonotonicityNot monotonic
2024-03-27T11:54:38.607476image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
29.18707466 2
 
1.3%
22.45177841 2
 
1.3%
24.74855995 2
 
1.3%
30.88319397 2
 
1.3%
18.97093582 2
 
1.3%
15.37749767 2
 
1.3%
16.48882103 2
 
1.3%
18.96032333 2
 
1.3%
30.52497864 2
 
1.3%
19.0580864 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
13.4151268 2
1.3%
14.11946678 2
1.3%
14.67630291 2
1.3%
15.37749767 2
1.3%
16.42944145 2
1.3%
ValueCountFrequency (%)
39.6139946 2
1.3%
35.72623825 2
1.3%
34.28294373 2
1.3%
31.78947258 2
1.3%
31.09554863 2
1.3%

dem_soc_vet_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean10.17260437
Minimum5.076903343
Maximum16.57325554
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:38.778996image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5.076903343
5-th percentile6.344557285
Q18.222202301
median10.32284927
Q311.82576752
95-th percentile13.99999332
Maximum16.57325554
Range11.4963522
Interquartile range (IQR)3.603565216

Descriptive statistics

Standard deviation2.593427887
Coefficient of variation (CV)0.2549423718
Kurtosis-0.3271364999
Mean10.17260437
Median Absolute Deviation (MAD)2.014010429
Skewness0.154386945
Sum773.1179323
Variance6.725868203
MonotonicityNot monotonic
2024-03-27T11:54:38.965460image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
11.96944618 2
 
1.3%
12.76496315 2
 
1.3%
13.70403576 2
 
1.3%
6.686408043 2
 
1.3%
7.841178894 2
 
1.3%
7.422929287 2
 
1.3%
8.393088341 2
 
1.3%
10.38561058 2
 
1.3%
12.50116634 2
 
1.3%
13.20131683 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
5.076903343 2
1.3%
5.808112621 2
1.3%
6.523372173 2
1.3%
6.686408043 2
1.3%
6.910561562 2
1.3%
ValueCountFrequency (%)
16.57325554 2
1.3%
14.88786602 2
1.3%
13.70403576 2
1.3%
13.20131683 2
1.3%
13.14631557 2
1.3%

ln_hou_mkt_homeval_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean5.002545244
Minimum4.485952854
Maximum5.735927105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:39.148655image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.485952854
5-th percentile4.502311945
Q14.734924316
median4.865954161
Q35.374351978
95-th percentile5.640301943
Maximum5.735927105
Range1.249974251
Interquartile range (IQR)0.6394276619

Descriptive statistics

Standard deviation0.3811632249
Coefficient of variation (CV)0.0761938586
Kurtosis-1.164198566
Mean5.002545244
Median Absolute Deviation (MAD)0.3019559383
Skewness0.3920390385
Sum380.1934385
Variance0.145285404
MonotonicityNot monotonic
2024-03-27T11:54:39.339074image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
4.794963837 2
 
1.3%
4.734924316 2
 
1.3%
4.822698116 2
 
1.3%
5.548686981 2
 
1.3%
5.487283707 2
 
1.3%
5.735927105 2
 
1.3%
5.455602169 2
 
1.3%
5.236973763 2
 
1.3%
4.525043964 2
 
1.3%
4.488143444 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
4.485952854 2
1.3%
4.488143444 2
1.3%
4.507034779 2
1.3%
4.525043964 2
1.3%
4.550947666 2
1.3%
ValueCountFrequency (%)
5.735927105 2
1.3%
5.647212029 2
1.3%
5.637998581 2
1.3%
5.548686981 2
1.3%
5.508172989 2
1.3%

ln_hou_mkt_medrent_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean1.837766086
Minimum1.380301714
Maximum2.373043537
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:39.520970image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.380301714
5-th percentile1.4014211
Q11.633154392
median1.788352013
Q32.115050077
95-th percentile2.24627924
Maximum2.373043537
Range0.9927418232
Interquartile range (IQR)0.4818956852

Descriptive statistics

Standard deviation0.2830954317
Coefficient of variation (CV)0.1540432343
Kurtosis-1.173860257
Mean1.837766086
Median Absolute Deviation (MAD)0.2469876409
Skewness0.1715277079
Sum139.6702225
Variance0.08014302344
MonotonicityNot monotonic
2024-03-27T11:54:39.707566image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
1.684545398 2
 
1.3%
1.533040881 2
 
1.3%
1.708377838 2
 
1.3%
2.091864109 2
 
1.3%
2.115050077 2
 
1.3%
2.246014833 2
 
1.3%
2.083107948 2
 
1.3%
1.921324611 2
 
1.3%
1.549687862 2
 
1.3%
1.380301714 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
1.380301714 2
1.3%
1.397374272 2
1.3%
1.402770042 2
1.3%
1.478467107 2
1.3%
1.504553318 2
1.3%
ValueCountFrequency (%)
2.373043537 2
1.3%
2.247072458 2
1.3%
2.246014833 2
1.3%
2.24177289 2
1.3%
2.209964514 2
1.3%

ln_econ_labor_medinc_census
Real number (ℝ)

UNIQUE 

Distinct152
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.011960552
Minimum3.707803726
Maximum4.442639351
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:40.071967image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3.707803726
5-th percentile3.756332791
Q13.865626276
median3.945863843
Q34.18365252
95-th percentile4.369232988
Maximum4.442639351
Range0.7348356247
Interquartile range (IQR)0.3180262446

Descriptive statistics

Standard deviation0.1999819371
Coefficient of variation (CV)0.04984643656
Kurtosis-0.7848538821
Mean4.011960552
Median Absolute Deviation (MAD)0.09744107723
Skewness0.6972748464
Sum609.8180039
Variance0.03999277517
MonotonicityNot monotonic
2024-03-27T11:54:40.275171image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4.042323589 1
 
0.7%
3.897170305 1
 
0.7%
4.299785614 1
 
0.7%
4.030641079 1
 
0.7%
3.923912048 1
 
0.7%
4.442639351 1
 
0.7%
4.008968353 1
 
0.7%
4.422976494 1
 
0.7%
3.836609602 1
 
0.7%
3.754740477 1
 
0.7%
Other values (142) 142
93.4%
ValueCountFrequency (%)
3.707803726 1
0.7%
3.723693609 1
0.7%
3.732943773 1
0.7%
3.735972643 1
0.7%
3.740071535 1
0.7%
ValueCountFrequency (%)
4.442639351 1
0.7%
4.422976494 1
0.7%
4.41356802 1
0.7%
4.408668518 1
0.7%
4.402025223 1
0.7%

flag_d_hless
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:40.434688image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:40.576896image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

flag_xt_hless
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:40.713416image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:40.846309image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

flag_d_shelt
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:40.980147image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:41.114205image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

flag_xt_shelt
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:41.241973image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:41.379637image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

flag_d_unshelt
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:41.507465image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:41.643252image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

flag_xt_unshelt
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:41.775109image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:41.906575image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

d_pit_hless_pit_hud_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-2.397876714
Minimum-14.21989727
Maximum3.472047806
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)10.5%
Memory size2.4 KiB
2024-03-27T11:54:42.048008image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-14.21989727
5-th percentile-10.64144678
Q1-2.623464108
median-1.748434067
Q3-0.9102516174
95-th percentile1.92059803
Maximum3.472047806
Range17.69194508
Interquartile range (IQR)1.71321249

Descriptive statistics

Standard deviation3.93347148
Coefficient of variation (CV)-1.640397714
Kurtosis4.505559069
Mean-2.397876714
Median Absolute Deviation (MAD)0.8757452965
Skewness-1.857826631
Sum-45.55965757
Variance15.47219789
MonotonicityNot monotonic
2024-03-27T11:54:42.206178image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-10.24384117 1
 
0.7%
-2.233639717 1
 
0.7%
-0.1231966019 1
 
0.7%
-1.575291634 1
 
0.7%
-0.9478144646 1
 
0.7%
-1.896538258 1
 
0.7%
-0.8726887703 1
 
0.7%
3.472047806 1
 
0.7%
-3.60910058 1
 
0.7%
-2.40755558 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-14.21989727 1
0.7%
-10.24384117 1
0.7%
-3.843828678 1
0.7%
-3.60910058 1
0.7%
-2.839372635 1
0.7%
ValueCountFrequency (%)
3.472047806 1
0.7%
1.748214722 1
0.7%
0.4428331852 1
0.7%
-0.1231966019 1
0.7%
-0.8726887703 1
0.7%

d_pit_shelt_pit_hud_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.940364706
Minimum-6.862520218
Maximum0.6650390625
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)10.5%
Memory size2.4 KiB
2024-03-27T11:54:42.363983image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-6.862520218
5-th percentile-6.596719742
Q1-2.531291485
median-1.544910908
Q3-0.5090843439
95-th percentile0.4422848225
Maximum0.6650390625
Range7.52755928
Interquartile range (IQR)2.022207141

Descriptive statistics

Standard deviation2.100760343
Coefficient of variation (CV)-1.082662623
Kurtosis1.184254237
Mean-1.940364706
Median Absolute Deviation (MAD)1.055116177
Skewness-1.202426748
Sum-36.86692941
Variance4.413194019
MonotonicityNot monotonic
2024-03-27T11:54:42.529866image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-6.567186356 1
 
0.7%
-2.01423645 1
 
0.7%
-0.3994824886 1
 
0.7%
-1.837585926 1
 
0.7%
-1.284155488 1
 
0.7%
-1.483059406 1
 
0.7%
-0.6186861992 1
 
0.7%
0.4175343513 1
 
0.7%
-3.457783222 1
 
0.7%
-2.462555885 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-6.862520218 1
0.7%
-6.567186356 1
0.7%
-4.155633926 1
0.7%
-3.457783222 1
0.7%
-2.600027084 1
0.7%
ValueCountFrequency (%)
0.6650390625 1
0.7%
0.4175343513 1
0.7%
0.3199319839 1
0.7%
-0.3707447052 1
0.7%
-0.3994824886 1
0.7%

d_pit_unshelt_pit_hud_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.4575122187
Minimum-7.357377052
Maximum3.054513454
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)5.9%
Memory size2.4 KiB
2024-03-27T11:54:42.697716image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-7.357377052
5-th percentile-4.044728327
Q1-0.3337413818
median0.0001043230295
Q30.2940456122
95-th percentile1.280309331
Maximum3.054513454
Range10.41189051
Interquartile range (IQR)0.627786994

Descriptive statistics

Standard deviation2.091396985
Coefficient of variation (CV)-4.571237444
Kurtosis6.712868469
Mean-0.4575122187
Median Absolute Deviation (MAD)0.311700806
Skewness-2.124019061
Sum-8.692732155
Variance4.373941351
MonotonicityNot monotonic
2024-03-27T11:54:42.844756image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-3.676656246 1
 
0.7%
-0.2194031328 1
 
0.7%
0.2762860954 1
 
0.7%
0.2622947693 1
 
0.7%
0.3363409042 1
 
0.7%
-0.4134806097 1
 
0.7%
-0.2540021539 1
 
0.7%
3.054513454 1
 
0.7%
-0.1513171494 1
 
0.7%
0.05499970913 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-7.357377052 1
0.7%
-3.676656246 1
0.7%
-1.377690077 1
0.7%
-1.294461489 1
0.7%
-0.4134806097 1
0.7%
ValueCountFrequency (%)
3.054513454 1
0.7%
1.08317554 1
0.7%
0.5496063232 1
0.7%
0.3363409042 1
0.7%
0.3118051291 1
0.7%

d_hou_mkt_homeval_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-9.254257202
Minimum-37.09999084
Maximum12.49999237
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)6.6%
Memory size2.4 KiB
2024-03-27T11:54:42.986370image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-37.09999084
5-th percentile-35.20999908
Q1-25.79685211
median-1.920150757
Q35.332988739
95-th percentile7.974847412
Maximum12.49999237
Range49.59998322
Interquartile range (IQR)31.12984085

Descriptive statistics

Standard deviation17.15660664
Coefficient of variation (CV)-1.853915043
Kurtosis-1.526093975
Mean-9.254257202
Median Absolute Deviation (MAD)9.392204285
Skewness-0.4320448979
Sum-175.8308868
Variance294.3491514
MonotonicityNot monotonic
2024-03-27T11:54:43.144315image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.399993896 1
 
0.7%
7.472053528 1
 
0.7%
-25.79370117 1
 
0.7%
6.958122253 1
 
0.7%
5.765983582 1
 
0.7%
-25.80000305 1
 
0.7%
4.899993896 1
 
0.7%
-5.800003052 1
 
0.7%
-26.29998779 1
 
0.7%
12.49999237 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-37.09999084 1
0.7%
-35 1
0.7%
-34.19999695 1
0.7%
-26.29998779 1
0.7%
-25.80000305 1
0.7%
ValueCountFrequency (%)
12.49999237 1
0.7%
7.472053528 1
0.7%
6.958122253 1
0.7%
6.526000977 1
0.7%
5.765983582 1
0.7%

d_hou_mkt_burden_sev_rent_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.262638694
Minimum-5.771249771
Maximum2.081609726
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)9.9%
Memory size2.4 KiB
2024-03-27T11:54:43.321486image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-5.771249771
5-th percentile-4.513809586
Q1-2.395077705
median-1.160617828
Q3-0.2292861938
95-th percentile1.663731003
Maximum2.081609726
Range7.852859497
Interquartile range (IQR)2.165791512

Descriptive statistics

Standard deviation2.069434302
Coefficient of variation (CV)-1.63897583
Kurtosis-0.0887968935
Mean-1.262638694
Median Absolute Deviation (MAD)1.02041626
Skewness-0.4381177598
Sum-23.99013519
Variance4.282558331
MonotonicityNot monotonic
2024-03-27T11:54:43.519260image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.081609726 1
 
0.7%
-3.833349228 1
 
0.7%
-0.7885990143 1
 
0.7%
-1.160617828 1
 
0.7%
-1.467355728 1
 
0.7%
-0.2783298492 1
 
0.7%
-5.771249771 1
 
0.7%
-0.1802425385 1
 
0.7%
1.617300034 1
 
0.7%
-0.4091815948 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-5.771249771 1
0.7%
-4.374094009 1
0.7%
-3.833349228 1
0.7%
-3.322616577 1
0.7%
-2.609121323 1
0.7%
ValueCountFrequency (%)
2.081609726 1
0.7%
1.617300034 1
0.7%
1.095317841 1
0.7%
0.923620224 1
0.7%
-0.1802425385 1
0.7%

d_hou_mkt_burden_own_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-5.022256751
Minimum-9.844305038
Maximum-1.416826248
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:43.698368image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-9.844305038
5-th percentile-9.718262672
Q1-7.471063614
median-3.959785461
Q3-2.865733147
95-th percentile-2.036990738
Maximum-1.416826248
Range8.42747879
Interquartile range (IQR)4.605330467

Descriptive statistics

Standard deviation2.801593378
Coefficient of variation (CV)-0.5578355542
Kurtosis-1.244234853
Mean-5.022256751
Median Absolute Deviation (MAD)1.799863815
Skewness-0.5468826547
Sum-95.42287827
Variance7.848925456
MonotonicityNot monotonic
2024-03-27T11:54:43.852578image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-2.105897903 1
 
0.7%
-3.388307571 1
 
0.7%
-8.429473877 1
 
0.7%
-2.159921646 1
 
0.7%
-3.06716156 1
 
0.7%
-9.844305038 1
 
0.7%
-3.107223511 1
 
0.7%
-4.333772659 1
 
0.7%
-6.709981918 1
 
0.7%
-2.908533096 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-9.844305038 1
0.7%
-9.704257965 1
0.7%
-8.581718445 1
0.7%
-8.429473877 1
0.7%
-8.183418274 1
0.7%
ValueCountFrequency (%)
-1.416826248 1
0.7%
-2.105897903 1
0.7%
-2.159921646 1
0.7%
-2.7467556 1
0.7%
-2.822933197 1
0.7%

d_hou_mkt_burden_sev_own_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.537418014
Minimum-3.812808037
Maximum0.6113533974
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)11.8%
Memory size2.4 KiB
2024-03-27T11:54:44.011689image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.812808037
5-th percentile-3.411322975
Q1-2.602520466
median-1.422410011
Q3-0.6075241566
95-th percentile-0.1299250603
Maximum0.6113533974
Range4.424161434
Interquartile range (IQR)1.994996309

Descriptive statistics

Standard deviation1.229144483
Coefficient of variation (CV)-0.7994861979
Kurtosis-0.7796743902
Mean-1.537418014
Median Absolute Deviation (MAD)1.043260098
Skewness-0.2901142871
Sum-29.21094227
Variance1.510796159
MonotonicityNot monotonic
2024-03-27T11:54:44.174848image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.6113533974 1
 
0.7%
-1.422410011 1
 
0.7%
-2.696929932 1
 
0.7%
-0.3791499138 1
 
0.7%
-0.9608650208 1
 
0.7%
-3.238873482 1
 
0.7%
-1.033873081 1
 
0.7%
-1.465973854 1
 
0.7%
-1.943086624 1
 
0.7%
-0.2122893333 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-3.812808037 1
0.7%
-3.366713524 1
0.7%
-3.238873482 1
0.7%
-2.696929932 1
0.7%
-2.696092606 1
0.7%
ValueCountFrequency (%)
0.6113533974 1
0.7%
-0.2122893333 1
0.7%
-0.2295899391 1
0.7%
-0.3791499138 1
0.7%
-0.403652668 1
0.7%

d_hou_mkt_burden_rent_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.951181713
Minimum-6.738933563
Maximum1.739944458
Zeros0
Zeros (%)0.0%
Negative15
Negative (%)9.9%
Memory size2.4 KiB
2024-03-27T11:54:44.341572image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-6.738933563
5-th percentile-6.120039368
Q1-3.37994957
median-1.675476074
Q3-0.1645965576
95-th percentile1.138415527
Maximum1.739944458
Range8.478878021
Interquartile range (IQR)3.215353012

Descriptive statistics

Standard deviation2.390863017
Coefficient of variation (CV)-1.225341034
Kurtosis-0.4195611582
Mean-1.951181713
Median Absolute Deviation (MAD)1.568508148
Skewness-0.5720358237
Sum-37.07245255
Variance5.716225965
MonotonicityNot monotonic
2024-03-27T11:54:44.544959image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.071578979 1
 
0.7%
-2.930335999 1
 
0.7%
-0.2222251892 1
 
0.7%
-3.829563141 1
 
0.7%
0.1835670471 1
 
0.7%
-1.802574158 1
 
0.7%
-6.051273346 1
 
0.7%
1.739944458 1
 
0.7%
-1.268241882 1
 
0.7%
-0.7494888306 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-6.738933563 1
0.7%
-6.051273346 1
0.7%
-5.302818298 1
0.7%
-4.448661804 1
0.7%
-3.829563141 1
0.7%
ValueCountFrequency (%)
1.739944458 1
0.7%
1.071578979 1
0.7%
0.3611869812 1
0.7%
0.1835670471 1
0.7%
-0.106967926 1
0.7%

d_hou_mkt_medrent_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.6301115061
Minimum0.4099998474
Maximum1.279999733
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:44.701975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.4099998474
5-th percentile0.4101043463
Q10.4614329338
median0.5780072212
Q30.7021546364
95-th percentile1.10540638
Maximum1.279999733
Range0.8699998856
Interquartile range (IQR)0.2407217026

Descriptive statistics

Standard deviation0.2290397718
Coefficient of variation (CV)0.3634908576
Kurtosis2.965893614
Mean0.6301115061
Median Absolute Deviation (MAD)0.1204314232
Skewness1.694551302
Sum11.97211862
Variance0.05245921704
MonotonicityNot monotonic
2024-03-27T11:54:44.862857image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.4099998474 1
 
0.7%
0.4479365349 1
 
0.7%
1.086007118 1
 
0.7%
0.5780072212 1
 
0.7%
0.4101159573 1
 
0.7%
0.6099996567 1
 
0.7%
0.5300002098 1
 
0.7%
0.6900000572 1
 
0.7%
1.279999733 1
 
0.7%
0.5199999809 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.4099998474 1
0.7%
0.4101159573 1
0.7%
0.4328780174 1
0.7%
0.4479365349 1
0.7%
0.457575798 1
0.7%
ValueCountFrequency (%)
1.279999733 1
0.7%
1.086007118 1
0.7%
0.8000001907 1
0.7%
0.7299995422 1
0.7%
0.7143092155 1
0.7%

d_hou_mkt_utility_xt
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)94.7%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.315153925
Minimum-2.5
Maximum3
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)8.6%
Memory size2.4 KiB
2024-03-27T11:54:45.008215image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.5
5-th percentile-2.295995045
Q1-1.172584534
median-0.5999994278
Q30.5499997139
95-th percentile2.1
Maximum3
Range5.5
Interquartile range (IQR)1.722584248

Descriptive statistics

Standard deviation1.535485101
Coefficient of variation (CV)-4.872175082
Kurtosis-0.2413798439
Mean-0.315153925
Median Absolute Deviation (MAD)0.8999996185
Skewness0.6634052019
Sum-5.987924576
Variance2.357714494
MonotonicityNot monotonic
2024-03-27T11:54:45.166677image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-0.5999994278 2
 
1.3%
-2.199998856 1
 
0.7%
-2.273327827 1
 
0.7%
1.805469513 1
 
0.7%
-1.532226562 1
 
0.7%
-1.240868568 1
 
0.7%
-2.5 1
 
0.7%
-0.8999996185 1
 
0.7%
0.3000001907 1
 
0.7%
3 1
 
0.7%
Other values (8) 8
 
5.3%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.5 1
0.7%
-2.273327827 1
0.7%
-2.199998856 1
0.7%
-1.532226562 1
0.7%
-1.240868568 1
0.7%
ValueCountFrequency (%)
3 1
0.7%
2 1
0.7%
1.805469513 1
0.7%
1.599999428 1
0.7%
0.7999992371 1
0.7%

d_fhfa_hpi_2009
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean5.729718918
Minimum-1.243433833
Maximum11.77730942
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.3%
Memory size2.4 KiB
2024-03-27T11:54:45.434230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.243433833
5-th percentile-0.4245636553
Q12.795969129
median4.455655098
Q310.41648531
95-th percentile11.72701435
Maximum11.77730942
Range13.02074325
Interquartile range (IQR)7.620516181

Descriptive statistics

Standard deviation4.322761999
Coefficient of variation (CV)0.7544457347
Kurtosis-1.226822916
Mean5.729718918
Median Absolute Deviation (MAD)2.144758224
Skewness0.12351333
Sum108.8646594
Variance18.6862713
MonotonicityNot monotonic
2024-03-27T11:54:45.592652image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.243433833 1
 
0.7%
5.670527935 1
 
0.7%
10.76152134 1
 
0.7%
3.304628849 1
 
0.7%
4.349833012 1
 
0.7%
11.55084229 1
 
0.7%
2.90879941 1
 
0.7%
0.219264254 1
 
0.7%
11.72142601 1
 
0.7%
6.600413322 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-1.243433833 1
0.7%
-0.3335780799 1
0.7%
0.219264254 1
0.7%
2.420198917 1
0.7%
2.683138847 1
0.7%
ValueCountFrequency (%)
11.77730942 1
0.7%
11.72142601 1
0.7%
11.55084229 1
0.7%
11.1012516 1
0.7%
10.76152134 1
0.7%

d_hou_mkt_homeage1940_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.9956919269
Minimum-2.209617615
Maximum-0.138569355
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:45.743010image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.209617615
5-th percentile-1.96844368
Q1-1.566758156
median-0.8217430115
Q3-0.529094696
95-th percentile-0.2244468212
Maximum-0.138569355
Range2.07104826
Interquartile range (IQR)1.03766346

Descriptive statistics

Standard deviation0.6500119904
Coefficient of variation (CV)-0.6528244056
Kurtosis-1.03403957
Mean-0.9956919269
Median Absolute Deviation (MAD)0.5070781708
Skewness-0.4934602697
Sum-18.91814661
Variance0.4225155876
MonotonicityNot monotonic
2024-03-27T11:54:45.918474image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.3146648407 1
 
0.7%
-1.860151291 1
 
0.7%
-0.138569355 1
 
0.7%
-0.607635498 1
 
0.7%
-1.490081787 1
 
0.7%
-0.2339887619 1
 
0.7%
-1.104879379 1
 
0.7%
-2.209617615 1
 
0.7%
-0.450553894 1
 
0.7%
-0.6180791855 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.209617615 1
0.7%
-1.941646576 1
0.7%
-1.860151291 1
0.7%
-1.849471092 1
0.7%
-1.643434525 1
0.7%
ValueCountFrequency (%)
-0.138569355 1
0.7%
-0.2339887619 1
0.7%
-0.2488336563 1
0.7%
-0.3146648407 1
0.7%
-0.450553894 1
0.7%

d_hou_mkt_rentshare_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.442481141
Minimum-0.4455490112
Maximum5.32743454
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size2.4 KiB
2024-03-27T11:54:46.066624image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.4455490112
5-th percentile0.4130084991
Q11.179408073
median2.416627884
Q33.50050211
95-th percentile4.942919922
Maximum5.32743454
Range5.772983551
Interquartile range (IQR)2.321094036

Descriptive statistics

Standard deviation1.57947721
Coefficient of variation (CV)0.6466691527
Kurtosis-0.73790262
Mean2.442481141
Median Absolute Deviation (MAD)1.134405136
Skewness0.03517789143
Sum46.40714169
Variance2.494748257
MonotonicityNot monotonic
2024-03-27T11:54:46.212227image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.055976868 1
 
0.7%
0.5084037781 1
 
0.7%
3.449971199 1
 
0.7%
2.047971725 1
 
0.7%
0.5729141235 1
 
0.7%
3.424797058 1
 
0.7%
3.55103302 1
 
0.7%
2.038551331 1
 
0.7%
2.940338135 1
 
0.7%
1.302839279 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.4455490112 1
0.7%
0.5084037781 1
0.7%
0.5729141235 1
0.7%
0.8608398438 1
0.7%
1.055976868 1
0.7%
ValueCountFrequency (%)
5.32743454 1
0.7%
4.900196075 1
0.7%
4.116243362 1
0.7%
3.620571136 1
0.7%
3.55103302 1
0.7%

d_hou_mkt_rentvacancy_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.3206788364
Minimum-2.983967781
Maximum3.788094521
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)6.6%
Memory size2.4 KiB
2024-03-27T11:54:46.357761image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.983967781
5-th percentile-2.699611139
Q1-1.643168211
median-0.8020119667
Q31.065252781
95-th percentile1.965674686
Maximum3.788094521
Range6.772062302
Interquartile range (IQR)2.708420992

Descriptive statistics

Standard deviation1.831725206
Coefficient of variation (CV)-5.712023988
Kurtosis-0.3921886544
Mean-0.3206788364
Median Absolute Deviation (MAD)1.512699127
Skewness0.3729227986
Sum-6.092897892
Variance3.355217231
MonotonicityNot monotonic
2024-03-27T11:54:46.523163image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.330609322 1
 
0.7%
3.788094521 1
 
0.7%
-2.983967781 1
 
0.7%
-1.154550076 1
 
0.7%
1.012989044 1
 
0.7%
-1.38229847 1
 
0.7%
0.4065818787 1
 
0.7%
0.7106871605 1
 
0.7%
-2.668015957 1
 
0.7%
-2.205041409 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.983967781 1
0.7%
-2.668015957 1
0.7%
-2.652551651 1
0.7%
-2.205041409 1
0.7%
-1.904037952 1
0.7%
ValueCountFrequency (%)
3.788094521 1
0.7%
1.763183594 1
0.7%
1.468838215 1
0.7%
1.249414444 1
0.7%
1.117516518 1
0.7%

d_hou_mkt_ovrcrowd_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.2173946468
Minimum-0.2057459354
Maximum1.958285332
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)2.0%
Memory size2.4 KiB
2024-03-27T11:54:46.684023image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2057459354
5-th percentile-0.1247025609
Q10.043874681
median0.1317429543
Q30.2580562234
95-th percentile0.5418242693
Maximum1.958285332
Range2.164031267
Interquartile range (IQR)0.2141815424

Descriptive statistics

Standard deviation0.4505095245
Coefficient of variation (CV)2.07231195
Kurtosis13.84991599
Mean0.2173946468
Median Absolute Deviation (MAD)0.1155744791
Skewness3.469001039
Sum4.13049829
Variance0.2029588317
MonotonicityNot monotonic
2024-03-27T11:54:46.838889image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.3607275486 1
 
0.7%
0.2850182056 1
 
0.7%
0.1687238216 1
 
0.7%
0.2267490625 1
 
0.7%
0.1281373501 1
 
0.7%
0.2687950134 1
 
0.7%
-0.1098595858 1
 
0.7%
0.2473174334 1
 
0.7%
0.3844397068 1
 
0.7%
-0.1156977415 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.2057459354 1
0.7%
-0.1156977415 1
0.7%
-0.1098595858 1
0.7%
0.006376981735 1
0.7%
0.03153896332 1
0.7%
ValueCountFrequency (%)
1.958285332 1
0.7%
0.3844397068 1
0.7%
0.3607275486 1
0.7%
0.2850182056 1
0.7%
0.2687950134 1
0.7%

d_hou_mkt_pctoverhouse_psh_hud
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)73.7%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.3519662305
Minimum-15
Maximum3
Zeros1
Zeros (%)0.7%
Negative3
Negative (%)2.0%
Memory size2.4 KiB
2024-03-27T11:54:46.980728image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-15
5-th percentile-2.4
Q10.7590167522
median1.181932926
Q32
95-th percentile2.164039135
Maximum3
Range18
Interquartile range (IQR)1.240983248

Descriptive statistics

Standard deviation3.8576483
Coefficient of variation (CV)10.96027961
Kurtosis15.93097798
Mean0.3519662305
Median Absolute Deviation (MAD)0.8180670738
Skewness-3.864149404
Sum6.687358379
Variance14.88145041
MonotonicityNot monotonic
2024-03-27T11:54:47.136168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2 4
 
2.6%
1 2
 
1.3%
-1 2
 
1.3%
1.579596996 1
 
0.7%
0.8725214005 1
 
0.7%
2.071154594 1
 
0.7%
1.970926285 1
 
0.7%
0 1
 
0.7%
1.493192673 1
 
0.7%
0.6869854927 1
 
0.7%
Other values (4) 4
 
2.6%
(Missing) 133
87.5%
ValueCountFrequency (%)
-15 1
0.7%
-1 2
1.3%
0 1
0.7%
0.6869854927 1
0.7%
0.8310480118 1
0.7%
ValueCountFrequency (%)
3 1
 
0.7%
2.071154594 1
 
0.7%
2 4
2.6%
1.970926285 1
 
0.7%
1.579596996 1
 
0.7%

d_hou_mkt_evict_rate
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.4912620563
Minimum-2.829999924
Maximum1.409999847
Zeros0
Zeros (%)0.0%
Negative14
Negative (%)9.2%
Memory size2.4 KiB
2024-03-27T11:54:47.469219image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.829999924
5-th percentile-1.858433867
Q1-0.7150000334
median-0.4800000191
Q30.004912853241
95-th percentile0.5639999032
Maximum1.409999847
Range4.239999771
Interquartile range (IQR)0.7199128866

Descriptive statistics

Standard deviation0.901634891
Coefficient of variation (CV)-1.835344048
Kurtosis2.062120423
Mean-0.4912620563
Median Absolute Deviation (MAD)0.3900001049
Skewness-0.6204678756
Sum-9.33397907
Variance0.8129454766
MonotonicityNot monotonic
2024-03-27T11:54:47.615676image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.6900000572 1
 
0.7%
-0.189529717 1
 
0.7%
-1.750482082 1
 
0.7%
-0.6271386147 1
 
0.7%
-0.678299129 1
 
0.7%
-1.49000001 1
 
0.7%
0.1100000143 1
 
0.7%
1.409999847 1
 
0.7%
-1.040000081 1
 
0.7%
0.4699999094 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.829999924 1
0.7%
-1.750482082 1
0.7%
-1.49000001 1
0.7%
-1.040000081 1
0.7%
-0.7400000095 1
0.7%
ValueCountFrequency (%)
1.409999847 1
0.7%
0.4699999094 1
0.7%
0.2141530514 1
0.7%
0.1100000143 1
0.7%
0.09982562065 1
0.7%

d_hou_pol_eli_psh_hud
Real number (ℝ)

MISSING 

Distinct15
Distinct (%)78.9%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-3.050067099
Minimum-10
Maximum1
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)10.5%
Memory size2.4 KiB
2024-03-27T11:54:47.757868image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-10
5-th percentile-7.3
Q1-4.5
median-3
Q3-0.8768043518
95-th percentile0.5889396667
Maximum1
Range11
Interquartile range (IQR)3.623195648

Descriptive statistics

Standard deviation2.85924465
Coefficient of variation (CV)-0.9374366392
Kurtosis0.4461475229
Mean-3.050067099
Median Absolute Deviation (MAD)2
Skewness-0.6994147376
Sum-57.95127487
Variance8.17527997
MonotonicityNot monotonic
2024-03-27T11:54:47.905589image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-3 3
 
2.0%
-5 2
 
1.3%
-4 2
 
1.3%
-6.666702271 1
 
0.7%
0.4435462952 1
 
0.7%
-1.70211792 1
 
0.7%
-0.5449752808 1
 
0.7%
1 1
 
0.7%
0.5432662964 1
 
0.7%
-2 1
 
0.7%
Other values (5) 5
 
3.3%
(Missing) 133
87.5%
ValueCountFrequency (%)
-10 1
0.7%
-7 1
0.7%
-6.666702271 1
0.7%
-5 2
1.3%
-4 2
1.3%
ValueCountFrequency (%)
1 1
0.7%
0.5432662964 1
0.7%
0.4435462952 1
0.7%
-0.4867553711 1
0.7%
-0.5449752808 1
0.7%

d_hou_pol_hudunit_psh_hud_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.2493820002
Minimum-0.9830737114
Maximum0.1894178391
Zeros0
Zeros (%)0.0%
Negative16
Negative (%)10.5%
Memory size2.4 KiB
2024-03-27T11:54:48.056018image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.9830737114
5-th percentile-0.8451197624
Q1-0.3188899755
median-0.2160720825
Q3-0.05221045017
95-th percentile0.1032712936
Maximum0.1894178391
Range1.17249155
Interquartile range (IQR)0.2666795254

Descriptive statistics

Standard deviation0.3061048647
Coefficient of variation (CV)-1.227453723
Kurtosis0.9713228832
Mean-0.2493820002
Median Absolute Deviation (MAD)0.1391952038
Skewness-1.108719096
Sum-4.738258004
Variance0.09370018821
MonotonicityNot monotonic
2024-03-27T11:54:48.223626image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.9830737114 1
 
0.7%
-0.3190667629 1
 
0.7%
-0.2403129339 1
 
0.7%
-0.3796386719 1
 
0.7%
0.02916169167 1
 
0.7%
-0.2160720825 1
 
0.7%
-0.02754402161 1
 
0.7%
-0.1187610626 1
 
0.7%
-0.09271478653 1
 
0.7%
-0.2696294785 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.9830737114 1
0.7%
-0.8297915459 1
0.7%
-0.7137496471 1
0.7%
-0.3796386719 1
0.7%
-0.3190667629 1
0.7%
ValueCountFrequency (%)
0.1894178391 1
0.7%
0.09369945526 1
0.7%
0.02916169167 1
0.7%
-0.01845097542 1
0.7%
-0.02754402161 1
0.7%

d_hou_pol_occhudunit_psh_hud
Real number (ℝ)

MISSING  ZEROS 

Distinct15
Distinct (%)78.9%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.01080764
Minimum-15
Maximum7
Zeros3
Zeros (%)2.0%
Negative8
Negative (%)5.3%
Memory size2.4 KiB
2024-03-27T11:54:48.385230image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-15
5-th percentile-6
Q1-3
median0
Q31.032398224
95-th percentile3.847267151
Maximum7
Range22
Interquartile range (IQR)4.032398224

Descriptive statistics

Standard deviation4.410950985
Coefficient of variation (CV)-4.363788729
Kurtosis5.321721821
Mean-1.01080764
Median Absolute Deviation (MAD)1.732345581
Skewness-1.581204345
Sum-19.20534515
Variance19.45648859
MonotonicityNot monotonic
2024-03-27T11:54:48.534175image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 3
 
2.0%
-3 3
 
2.0%
-2 1
 
0.7%
3.496963501 1
 
0.7%
1.732345581 1
 
0.7%
1.064796448 1
 
0.7%
0.6084442139 1
 
0.7%
1 1
 
0.7%
7 1
 
0.7%
1.534614563 1
 
0.7%
Other values (5) 5
 
3.3%
(Missing) 133
87.5%
ValueCountFrequency (%)
-15 1
 
0.7%
-5 1
 
0.7%
-4.196403503 1
 
0.7%
-3 3
2.0%
-2 1
 
0.7%
ValueCountFrequency (%)
7 1
0.7%
3.496963501 1
0.7%
1.732345581 1
0.7%
1.534614563 1
0.7%
1.064796448 1
0.7%

d_hou_pol_fedfundcoc
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean8.152033127
Minimum-3.194009542
Maximum147.8487091
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)5.9%
Memory size2.4 KiB
2024-03-27T11:54:48.681700image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.194009542
5-th percentile-2.671344423
Q1-1.02480489
median0.3423402309
Q32.049950004
95-th percentile20.26993814
Maximum147.8487091
Range151.0427186
Interquartile range (IQR)3.074754894

Descriptive statistics

Standard deviation33.90606526
Coefficient of variation (CV)4.159215833
Kurtosis18.79753796
Mean8.152033127
Median Absolute Deviation (MAD)1.590759754
Skewness4.326030045
Sum154.8886294
Variance1149.621261
MonotonicityNot monotonic
2024-03-27T11:54:48.841764image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.7128700018 1
 
0.7%
0.3423402309 1
 
0.7%
6.094519138 1
 
0.7%
1.0931499 1
 
0.7%
-0.8563001156 1
 
0.7%
2.166800022 1
 
0.7%
-3.194009542 1
 
0.7%
1.933099985 1
 
0.7%
3.975400448 1
 
0.7%
-2.175559759 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-3.194009542 1
0.7%
-2.613270521 1
0.7%
-2.175559759 1
0.7%
-1.513089776 1
0.7%
-1.193309665 1
0.7%
ValueCountFrequency (%)
147.8487091 1
0.7%
6.094519138 1
0.7%
3.975400448 1
0.7%
2.369719982 1
0.7%
2.166800022 1
0.7%

d_econ_labor_medinc_census
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean4.970725321
Minimum-0.2960015833
Maximum9.084001541
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size2.4 KiB
2024-03-27T11:54:49.007207image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2960015833
5-th percentile1.164313194
Q13.580693841
median4.323999882
Q37.366501808
95-th percentile8.996025944
Maximum9.084001541
Range9.380003124
Interquartile range (IQR)3.785807967

Descriptive statistics

Standard deviation2.725645369
Coefficient of variation (CV)0.5483395667
Kurtosis-0.6474637193
Mean4.970725321
Median Absolute Deviation (MAD)1.426999807
Skewness0.1792020307
Sum94.44378111
Variance7.429142678
MonotonicityNot monotonic
2024-03-27T11:54:49.196280image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
2.897000074 1
 
0.7%
3.841841936 1
 
0.7%
8.986250877 1
 
0.7%
3.484389067 1
 
0.7%
3.87116766 1
 
0.7%
8.813997269 1
 
0.7%
4.56099987 1
 
0.7%
3.676998615 1
 
0.7%
6.868003368 1
 
0.7%
-0.2960015833 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.2960015833 1
0.7%
1.326570392 1
0.7%
2.839081287 1
0.7%
2.897000074 1
0.7%
3.484389067 1
0.7%
ValueCountFrequency (%)
9.084001541 1
0.7%
8.986250877 1
0.7%
8.885000229 1
0.7%
8.813997269 1
0.7%
7.865000248 1
0.7%

d_econ_labor_unemp_rate_BLS
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-2.930625338
Minimum-3.961610794
Maximum-1.376631737
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:49.381262image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.961610794
5-th percentile-3.785296535
Q1-3.462219
median-2.925739765
Q3-2.478826523
95-th percentile-2.041053963
Maximum-1.376631737
Range2.584979057
Interquartile range (IQR)0.983392477

Descriptive statistics

Standard deviation0.6639468655
Coefficient of variation (CV)-0.2265546731
Kurtosis0.03399161489
Mean-2.930625338
Median Absolute Deviation (MAD)0.501789093
Skewness0.4689685669
Sum-55.68188143
Variance0.4408254402
MonotonicityNot monotonic
2024-03-27T11:54:49.551736image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-3.350646973 1
 
0.7%
-2.114878654 1
 
0.7%
-3.765706062 1
 
0.7%
-1.376631737 1
 
0.7%
-2.925739765 1
 
0.7%
-3.398703575 1
 
0.7%
-2.96283865 1
 
0.7%
-3.525734425 1
 
0.7%
-2.755743027 1
 
0.7%
-2.423950672 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-3.961610794 1
0.7%
-3.765706062 1
0.7%
-3.715018749 1
0.7%
-3.549797058 1
0.7%
-3.525734425 1
0.7%
ValueCountFrequency (%)
-1.376631737 1
0.7%
-2.114878654 1
0.7%
-2.249503613 1
0.7%
-2.373927593 1
0.7%
-2.423950672 1
0.7%

d_econ_labor_incineq_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.090707277
Minimum0.191696167
Maximum3.129997253
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:49.700016image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.191696167
5-th percentile0.2415809631
Q10.6227397919
median0.8800010681
Q31.370002747
95-th percentile2.182416153
Maximum3.129997253
Range2.938301086
Interquartile range (IQR)0.7472629547

Descriptive statistics

Standard deviation0.7366501079
Coefficient of variation (CV)0.675387543
Kurtosis1.905256404
Mean1.090707277
Median Absolute Deviation (MAD)0.3799972534
Skewness1.31812583
Sum20.72343826
Variance0.5426533815
MonotonicityNot monotonic
2024-03-27T11:54:49.844812image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.7999992371 1
 
0.7%
0.191696167 1
 
0.7%
2.077129364 1
 
0.7%
0.4444198608 1
 
0.7%
0.6354789734 1
 
0.7%
1.870002747 1
 
0.7%
0.6100006104 1
 
0.7%
3.129997253 1
 
0.7%
1.089996338 1
 
0.7%
1.959999084 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.191696167 1
0.7%
0.2471237183 1
0.7%
0.4444198608 1
0.7%
0.5000038147 1
0.7%
0.6100006104 1
0.7%
ValueCountFrequency (%)
3.129997253 1
0.7%
2.077129364 1
0.7%
1.959999084 1
0.7%
1.870002747 1
0.7%
1.400005341 1
0.7%

d_econ_sn_cashasst_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.3926635416
Minimum-0.2411130667
Maximum1.239002705
Zeros0
Zeros (%)0.0%
Negative3
Negative (%)2.0%
Memory size2.4 KiB
2024-03-27T11:54:49.993796image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2411130667
5-th percentile-0.2073154092
Q10.1950230598
median0.4063727856
Q30.5648434758
95-th percentile1.04625423
Maximum1.239002705
Range1.480115771
Interquartile range (IQR)0.369820416

Descriptive statistics

Standard deviation0.3843790817
Coefficient of variation (CV)0.9789018868
Kurtosis0.2736783344
Mean0.3926635416
Median Absolute Deviation (MAD)0.2084993124
Skewness0.3678144133
Sum7.46060729
Variance0.1477472785
MonotonicityNot monotonic
2024-03-27T11:54:50.152842image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.8279050589 1
 
0.7%
0.2950657606 1
 
0.7%
0.4063727856 1
 
0.7%
0.5137224197 1
 
0.7%
0.6539171934 1
 
0.7%
-0.2035601139 1
 
0.7%
0.1994553804 1
 
0.7%
0.4082949162 1
 
0.7%
0.1905907393 1
 
0.7%
0.1791074276 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.2411130667 1
0.7%
-0.2035601139 1
0.7%
-0.1252804995 1
0.7%
0.1791074276 1
0.7%
0.1905907393 1
0.7%
ValueCountFrequency (%)
1.239002705 1
0.7%
1.024837732 1
0.7%
0.8279050589 1
0.7%
0.6539171934 1
0.7%
0.614872098 1
0.7%

d_econ_sn_eitc_irs_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.2494421005
Minimum-1.253482819
Maximum0.7248935699
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)8.6%
Memory size2.4 KiB
2024-03-27T11:54:50.318011image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.253482819
5-th percentile-0.8905134201
Q1-0.5215849876
median-0.2723236084
Q30.0421090126
95-th percentile0.3395120621
Maximum0.7248935699
Range1.978376389
Interquartile range (IQR)0.5636940002

Descriptive statistics

Standard deviation0.4512045876
Coefficient of variation (CV)-1.808854988
Kurtosis0.6318538308
Mean-0.2494421005
Median Absolute Deviation (MAD)0.2780990601
Skewness-0.07906531259
Sum-4.73939991
Variance0.2035855799
MonotonicityNot monotonic
2024-03-27T11:54:50.487539image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.7248935699 1
 
0.7%
-0.470041275 1
 
0.7%
-0.6478099823 1
 
0.7%
0.2966918945 1
 
0.7%
-0.503950119 1
 
0.7%
-0.8501834869 1
 
0.7%
-0.008852005005 1
 
0.7%
-0.3193569183 1
 
0.7%
-0.557970047 1
 
0.7%
0.00577545166 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-1.253482819 1
0.7%
-0.8501834869 1
0.7%
-0.6478099823 1
0.7%
-0.557970047 1
0.7%
-0.5392198563 1
0.7%
ValueCountFrequency (%)
0.7248935699 1
0.7%
0.2966918945 1
0.7%
0.156047821 1
0.7%
0.0798625946 1
0.7%
0.07844257355 1
0.7%

d_econ_sn_ssdi_part_rate_SSA
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.01589335893
Minimum-0.1213927269
Maximum0.1322288513
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)4.6%
Memory size2.4 KiB
2024-03-27T11:54:50.657251image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1213927269
5-th percentile-0.09370009899
Q1-0.01253801584
median0.01698625088
Q30.06746256351
95-th percentile0.102145195
Maximum0.1322288513
Range0.2536215782
Interquartile range (IQR)0.08000057936

Descriptive statistics

Standard deviation0.06405836898
Coefficient of variation (CV)4.03051169
Kurtosis0.069053817
Mean0.01589335893
Median Absolute Deviation (MAD)0.0469943285
Skewness-0.2893306719
Sum0.3019738197
Variance0.004103474637
MonotonicityNot monotonic
2024-03-27T11:54:50.812950image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.01918530464 1
 
0.7%
-0.03889322281 1
 
0.7%
0.03333830833 1
 
0.7%
0.09880256653 1
 
0.7%
0.08972740173 1
 
0.7%
0.0007615089417 1
 
0.7%
0.06398057938 1
 
0.7%
0.1322288513 1
 
0.7%
-0.04249298573 1
 
0.7%
-0.1213927269 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.1213927269 1
0.7%
-0.09062314034 1
0.7%
-0.04249298573 1
0.7%
-0.03889322281 1
0.7%
-0.01327180862 1
0.7%
ValueCountFrequency (%)
0.1322288513 1
0.7%
0.09880256653 1
0.7%
0.08972740173 1
0.7%
0.07096934319 1
0.7%
0.07094454765 1
0.7%

d_econ_sn_ssi_part_rate_SSA
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.02409548195
Minimum-0.138023138
Maximum0.1761283278
Zeros0
Zeros (%)0.0%
Negative6
Negative (%)3.9%
Memory size2.4 KiB
2024-03-27T11:54:50.959564image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.138023138
5-th percentile-0.1340182781
Q1-0.01615199447
median0.03034281731
Q30.07222014666
95-th percentile0.1631855428
Maximum0.1761283278
Range0.3141514659
Interquartile range (IQR)0.08837214112

Descriptive statistics

Standard deviation0.09212544785
Coefficient of variation (CV)3.823349458
Kurtosis-0.2351675359
Mean0.02409548195
Median Absolute Deviation (MAD)0.05170583725
Skewness-0.2231912175
Sum0.457814157
Variance0.008487098142
MonotonicityNot monotonic
2024-03-27T11:54:51.115562image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.1598467827 1
 
0.7%
-0.02542972565 1
 
0.7%
0.006719470024 1
 
0.7%
0.08204865456 1
 
0.7%
0.01044106483 1
 
0.7%
0.02569311857 1
 
0.7%
0.03034281731 1
 
0.7%
-0.138023138 1
 
0.7%
-0.006874263287 1
 
0.7%
-0.1335732937 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.138023138 1
0.7%
-0.1335732937 1
0.7%
-0.1251459122 1
0.7%
-0.04439067841 1
0.7%
-0.02542972565 1
0.7%
ValueCountFrequency (%)
0.1761283278 1
0.7%
0.1617474556 1
0.7%
0.1598467827 1
0.7%
0.08824145794 1
0.7%
0.08204865456 1
0.7%

d_dem_soc_white_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.360298558
Minimum-2.180667877
Maximum-0.591960907
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:51.270364image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.180667877
5-th percentile-2.109459305
Q1-1.860427856
median-1.296638489
Q3-1.018398285
95-th percentile-0.6270656586
Maximum-0.591960907
Range1.58870697
Interquartile range (IQR)0.8420295715

Descriptive statistics

Standard deviation0.5089481228
Coefficient of variation (CV)-0.3741444256
Kurtosis-1.256003423
Mean-1.360298558
Median Absolute Deviation (MAD)0.4796142578
Skewness-0.1536401329
Sum-25.84567261
Variance0.2590281917
MonotonicityNot monotonic
2024-03-27T11:54:51.432442image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.141906738 1
 
0.7%
-0.817024231 1
 
0.7%
-2.101547241 1
 
0.7%
-1.139671326 1
 
0.7%
-0.6309661865 1
 
0.7%
-1.296638489 1
 
0.7%
-1.066322327 1
 
0.7%
-0.591960907 1
 
0.7%
-1.904846191 1
 
0.7%
-1.34777832 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.180667877 1
0.7%
-2.101547241 1
0.7%
-1.969673157 1
0.7%
-1.933624268 1
0.7%
-1.904846191 1
0.7%
ValueCountFrequency (%)
-0.591960907 1
0.7%
-0.6309661865 1
0.7%
-0.7872314453 1
0.7%
-0.817024231 1
0.7%
-0.9704742432 1
0.7%

d_dem_soc_black_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.2614763348
Minimum-0.6804103851
Maximum0.8667321205
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)1.3%
Memory size2.4 KiB
2024-03-27T11:54:51.593055image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.6804103851
5-th percentile-0.1725605011
Q10.1421313286
median0.2809336185
Q30.4431993961
95-th percentile0.7035727024
Maximum0.8667321205
Range1.547142506
Interquartile range (IQR)0.3010680676

Descriptive statistics

Standard deviation0.3287135053
Coefficient of variation (CV)1.257144382
Kurtosis3.028540259
Mean0.2614763348
Median Absolute Deviation (MAD)0.142898798
Skewness-0.9776686967
Sum4.968050361
Variance0.1080525686
MonotonicityNot monotonic
2024-03-27T11:54:51.749477image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.5563526154 1
 
0.7%
0.2137982845 1
 
0.7%
0.315366745 1
 
0.7%
0.3068771362 1
 
0.7%
0.1707209349 1
 
0.7%
0.0128030777 1
 
0.7%
0.5125517845 1
 
0.7%
-0.1161327362 1
 
0.7%
0.1462278366 1
 
0.7%
0.6854438782 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.6804103851 1
0.7%
-0.1161327362 1
0.7%
0.0128030777 1
0.7%
0.1014328003 1
0.7%
0.1380348206 1
0.7%
ValueCountFrequency (%)
0.8667321205 1
0.7%
0.6854438782 1
0.7%
0.5563526154 1
0.7%
0.5125517845 1
0.7%
0.4720778465 1
0.7%

d_dem_soc_hispanic_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.5741633616
Minimum0.2110686302
Maximum1.139547348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:51.913120image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.2110686302
5-th percentile0.2168738961
Q10.2777084112
median0.4678134918
Q30.7824316025
95-th percentile1.120795918
Maximum1.139547348
Range0.9284787178
Interquartile range (IQR)0.5047231913

Descriptive statistics

Standard deviation0.3222138071
Coefficient of variation (CV)0.5611883806
Kurtosis-1.006675634
Mean0.5741633616
Median Absolute Deviation (MAD)0.2103643417
Skewness0.6138688077
Sum10.90910387
Variance0.1038217375
MonotonicityNot monotonic
2024-03-27T11:54:52.070739image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.2459944487 1
 
0.7%
0.2110686302 1
 
0.7%
1.139547348 1
 
0.7%
0.3660540581 1
 
0.7%
0.2175189257 1
 
0.7%
0.7346591949 1
 
0.7%
0.2709789276 1
 
0.7%
0.4410493374 1
 
0.7%
0.5937986374 1
 
0.7%
0.2800881863 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.2110686302 1
0.7%
0.2175189257 1
0.7%
0.2459944487 1
0.7%
0.2709789276 1
0.7%
0.2753286362 1
0.7%
ValueCountFrequency (%)
1.139547348 1
0.7%
1.118712425 1
0.7%
1.067712784 1
0.7%
0.9898090363 1
0.7%
0.83020401 1
0.7%

d_dem_soc_asian_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.3441252112
Minimum0.06732690334
Maximum1.032026291
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:52.223393image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.06732690334
5-th percentile0.07590600252
Q10.1206975281
median0.2006274462
Q30.4603111744
95-th percentile0.9316473007
Maximum1.032026291
Range0.9646993876
Interquartile range (IQR)0.3396136463

Descriptive statistics

Standard deviation0.3094944843
Coefficient of variation (CV)0.8993659116
Kurtosis0.2008399445
Mean0.3441252112
Median Absolute Deviation (MAD)0.1004734635
Skewness1.229446285
Sum6.538379014
Variance0.09578683581
MonotonicityNot monotonic
2024-03-27T11:54:52.376795image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.06732690334 1
 
0.7%
0.1827536821 1
 
0.7%
0.5035028458 1
 
0.7%
0.315749526 1
 
0.7%
0.1012503505 1
 
0.7%
0.417119503 1
 
0.7%
0.1001539826 1
 
0.7%
0.07685923576 1
 
0.7%
1.032026291 1
 
0.7%
0.2006274462 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.06732690334 1
0.7%
0.07685923576 1
0.7%
0.1001539826 1
0.7%
0.1012503505 1
0.7%
0.1185743809 1
0.7%
ValueCountFrequency (%)
1.032026291 1
0.7%
0.9204940796 1
0.7%
0.8559451103 1
0.7%
0.6991796494 1
0.7%
0.5035028458 1
0.7%

d_dem_pop_child_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.9683192404
Minimum-1.984699249
Maximum-0.2613067627
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:52.523958image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.984699249
5-th percentile-1.983810043
Q1-1.221626282
median-0.7701301575
Q3-0.5285005569
95-th percentile-0.3469623566
Maximum-0.2613067627
Range1.723392487
Interquartile range (IQR)0.6931257248

Descriptive statistics

Standard deviation0.5556564041
Coefficient of variation (CV)-0.5738359633
Kurtosis-0.6814884786
Mean-0.9683192404
Median Absolute Deviation (MAD)0.3705615997
Skewness-0.7221458246
Sum-18.39806557
Variance0.3087540394
MonotonicityNot monotonic
2024-03-27T11:54:52.683101image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.3564796448 1
 
0.7%
-0.4761829376 1
 
0.7%
-1.984699249 1
 
0.7%
-0.3995685577 1
 
0.7%
-0.7345294952 1
 
0.7%
-1.793390274 1
 
0.7%
-0.5181179047 1
 
0.7%
-1.177101135 1
 
0.7%
-1.266151428 1
 
0.7%
-0.7701301575 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-1.984699249 1
0.7%
-1.983711243 1
0.7%
-1.793390274 1
0.7%
-1.710596085 1
0.7%
-1.266151428 1
0.7%
ValueCountFrequency (%)
-0.2613067627 1
0.7%
-0.3564796448 1
0.7%
-0.3995685577 1
0.7%
-0.4761829376 1
0.7%
-0.5181179047 1
0.7%

d_dem_pop_adult_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.6915088453
Minimum-1.548595428
Maximum0.2013664246
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)11.8%
Memory size2.4 KiB
2024-03-27T11:54:52.841253image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.548595428
5-th percentile-1.367218018
Q1-1.005144119
median-0.7413597107
Q3-0.3330078125
95-th percentile-0.04635124207
Maximum0.2013664246
Range1.749961853
Interquartile range (IQR)0.6721363068

Descriptive statistics

Standard deviation0.4520549088
Coefficient of variation (CV)-0.6537225255
Kurtosis-0.3404997651
Mean-0.6915088453
Median Absolute Deviation (MAD)0.3185310364
Skewness0.1174377249
Sum-13.13866806
Variance0.2043536405
MonotonicityNot monotonic
2024-03-27T11:54:53.008217image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.548595428 1
 
0.7%
-1.112411499 1
 
0.7%
0.2013664246 1
 
0.7%
-1.070140839 1
 
0.7%
-0.6105155945 1
 
0.7%
-0.2093772888 1
 
0.7%
-0.8405380249 1
 
0.7%
-0.4228286743 1
 
0.7%
-0.6677894592 1
 
0.7%
-1.347064972 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-1.548595428 1
0.7%
-1.347064972 1
0.7%
-1.112411499 1
0.7%
-1.070140839 1
0.7%
-1.058773041 1
0.7%
ValueCountFrequency (%)
0.2013664246 1
0.7%
-0.07387542725 1
0.7%
-0.1992263794 1
0.7%
-0.2093772888 1
0.7%
-0.2431869507 1
0.7%

d_dem_pop_senior_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.659827182
Minimum1.320081711
Maximum2.226898193
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:53.176361image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.320081711
5-th percentile1.342545319
Q11.392259121
median1.599928856
Q31.856352806
95-th percentile2.128165436
Maximum2.226898193
Range0.9068164825
Interquartile range (IQR)0.4640936852

Descriptive statistics

Standard deviation0.282381014
Coefficient of variation (CV)0.170126756
Kurtosis-0.8685474401
Mean1.659827182
Median Absolute Deviation (MAD)0.2245950699
Skewness0.524179697
Sum31.53671646
Variance0.07973903705
MonotonicityNot monotonic
2024-03-27T11:54:53.334046image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.905073166 1
 
0.7%
1.588594437 1
 
0.7%
1.78332901 1
 
0.7%
1.469711304 1
 
0.7%
1.345041275 1
 
0.7%
2.00276947 1
 
0.7%
1.358653069 1
 
0.7%
1.599928856 1
 
0.7%
1.933938026 1
 
0.7%
2.117195129 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
1.320081711 1
0.7%
1.345041275 1
0.7%
1.358653069 1
0.7%
1.373983383 1
0.7%
1.375333786 1
0.7%
ValueCountFrequency (%)
2.226898193 1
0.7%
2.117195129 1
0.7%
2.00276947 1
0.7%
1.933938026 1
0.7%
1.905073166 1
0.7%

d_dem_pop_female_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.03261244924
Minimum-0.1616477966
Maximum0.1926116943
Zeros0
Zeros (%)0.0%
Negative13
Negative (%)8.6%
Memory size2.4 KiB
2024-03-27T11:54:53.488575image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.1616477966
5-th percentile-0.1488452911
Q1-0.09776115417
median-0.03893280029
Q30.004220962524
95-th percentile0.1079654694
Maximum0.1926116943
Range0.354259491
Interquartile range (IQR)0.1019821167

Descriptive statistics

Standard deviation0.08871398602
Coefficient of variation (CV)-2.72024911
Kurtosis0.8953526429
Mean-0.03261244924
Median Absolute Deviation (MAD)0.05662155151
Skewness0.8592161926
Sum-0.6196365356
Variance0.007870171315
MonotonicityNot monotonic
2024-03-27T11:54:53.655550image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.003540039062 1
 
0.7%
-0.09555435181 1
 
0.7%
-0.03893280029 1
 
0.7%
-0.01996612549 1
 
0.7%
-0.1113853455 1
 
0.7%
0.003032684326 1
 
0.7%
0.09856033325 1
 
0.7%
-0.05321502686 1
 
0.7%
-0.1132202148 1
 
0.7%
0.06153869629 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.1616477966 1
0.7%
-0.1474227905 1
0.7%
-0.1132202148 1
0.7%
-0.1113853455 1
0.7%
-0.09996795654 1
0.7%
ValueCountFrequency (%)
0.1926116943 1
0.7%
0.09856033325 1
0.7%
0.06153869629 1
0.7%
0.04428100586 1
0.7%
0.005409240723 1
0.7%

d_dem_pop_mig_census_share
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.07039285883
Minimum-0.5799129605
Maximum0.3100681901
Zeros0
Zeros (%)0.0%
Negative9
Negative (%)5.9%
Memory size2.4 KiB
2024-03-27T11:54:53.824193image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5799129605
5-th percentile-0.575511992
Q1-0.312924549
median0.03560996056
Q30.1803021729
95-th percentile0.2740484029
Maximum0.3100681901
Range0.8899811506
Interquartile range (IQR)0.4932267219

Descriptive statistics

Standard deviation0.3205538925
Coefficient of variation (CV)-4.55378426
Kurtosis-1.258127072
Mean-0.07039285883
Median Absolute Deviation (MAD)0.2249756157
Skewness-0.5732944996
Sum-1.337464318
Variance0.102754798
MonotonicityNot monotonic
2024-03-27T11:54:53.973014image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.2374450564 1
 
0.7%
-0.3177909553 1
 
0.7%
0.2605855763 1
 
0.7%
-0.5571157932 1
 
0.7%
0.1899004281 1
 
0.7%
0.2700462043 1
 
0.7%
0.1983773261 1
 
0.7%
0.1570622921 1
 
0.7%
-0.5799129605 1
 
0.7%
-0.5485804081 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.5799129605 1
0.7%
-0.5750229955 1
0.7%
-0.5571157932 1
0.7%
-0.5485804081 1
0.7%
-0.3177909553 1
0.7%
ValueCountFrequency (%)
0.3100681901 1
0.7%
0.2700462043 1
0.7%
0.2605855763 1
0.7%
0.1983773261 1
0.7%
0.1899004281 1
0.7%

d_dem_soc_ed_bach_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean1.422848852
Minimum-0.3270683289
Maximum2.572917938
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size2.4 KiB
2024-03-27T11:54:54.114515image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.3270683289
5-th percentile0.435978508
Q11.167194366
median1.458343506
Q31.942476273
95-th percentile2.192008209
Maximum2.572917938
Range2.899986267
Interquartile range (IQR)0.7752819061

Descriptive statistics

Standard deviation0.6975937592
Coefficient of variation (CV)0.4902795952
Kurtosis0.7959204427
Mean1.422848852
Median Absolute Deviation (MAD)0.4480667114
Skewness-0.7210372689
Sum27.03412819
Variance0.4866370529
MonotonicityNot monotonic
2024-03-27T11:54:54.268540image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.906410217 1
 
0.7%
0.6047840118 1
 
0.7%
2.109874725 1
 
0.7%
1.978542328 1
 
0.7%
1.162406921 1
 
0.7%
-0.3270683289 1
 
0.7%
2.131612778 1
 
0.7%
1.458343506 1
 
0.7%
1.176528931 1
 
0.7%
2.149684906 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.3270683289 1
0.7%
0.5207614899 1
0.7%
0.6047840118 1
0.7%
0.8213062286 1
0.7%
1.162406921 1
0.7%
ValueCountFrequency (%)
2.572917938 1
0.7%
2.149684906 1
0.7%
2.131612778 1
0.7%
2.109874725 1
0.7%
1.978542328 1
0.7%

d_dem_health_cost_dart
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.5565579392
Minimum0.1271600872
Maximum1.208869576
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:54.429978image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0.1271600872
5-th percentile0.1568357125
Q10.4327400178
median0.564139843
Q30.6379447579
95-th percentile0.9675583661
Maximum1.208869576
Range1.081709489
Interquartile range (IQR)0.2052047402

Descriptive statistics

Standard deviation0.2657555907
Coefficient of variation (CV)0.4774985172
Kurtosis0.9396585701
Mean0.5565579392
Median Absolute Deviation (MAD)0.1063397229
Skewness0.6111505932
Sum10.57460085
Variance0.070626034
MonotonicityNot monotonic
2024-03-27T11:54:54.769168image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.4578001201 1
 
0.7%
0.8850958943 1
 
0.7%
0.2165591866 1
 
0.7%
0.1601330042 1
 
0.7%
0.9407460093 1
 
0.7%
0.7477504611 1
 
0.7%
0.564139843 1
 
0.7%
0.3635697961 1
 
0.7%
0.4076799154 1
 
0.7%
0.6536202431 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
0.1271600872 1
0.7%
0.1601330042 1
0.7%
0.2165591866 1
0.7%
0.3635697961 1
0.7%
0.4076799154 1
0.7%
ValueCountFrequency (%)
1.208869576 1
0.7%
0.9407460093 1
0.7%
0.8850958943 1
0.7%
0.7477504611 1
0.7%
0.6536202431 1
0.7%

d_dem_soc_singadult_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.8855340857
Minimum-0.2194843292
Maximum2.148601532
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)0.7%
Memory size2.4 KiB
2024-03-27T11:54:54.919471image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.2194843292
5-th percentile0.1277626038
Q10.5136289597
median1.00444603
Q31.211574554
95-th percentile1.500336075
Maximum2.148601532
Range2.368085861
Interquartile range (IQR)0.6979455948

Descriptive statistics

Standard deviation0.5498140361
Coefficient of variation (CV)0.6208841025
Kurtosis0.5009813567
Mean0.8855340857
Median Absolute Deviation (MAD)0.3044242859
Skewness0.07322966972
Sum16.82514763
Variance0.3022954743
MonotonicityNot monotonic
2024-03-27T11:54:55.072547image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
0.2191429138 1
 
0.7%
1.156114578 1
 
0.7%
1.176767349 1
 
0.7%
1.19434166 1
 
0.7%
-0.2194843292 1
 
0.7%
0.5187492371 1
 
0.7%
1.361301422 1
 
0.7%
1.228807449 1
 
0.7%
0.7000217438 1
 
0.7%
0.7418384552 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-0.2194843292 1
0.7%
0.1663455963 1
0.7%
0.2191429138 1
0.7%
0.3829612732 1
0.7%
0.5085086823 1
0.7%
ValueCountFrequency (%)
2.148601532 1
0.7%
1.42830658 1
0.7%
1.361301422 1
0.7%
1.251644135 1
0.7%
1.228807449 1
0.7%

d_dem_soc_singparent_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean0.720419432
Minimum-3.887756348
Maximum5.095869064
Zeros0
Zeros (%)0.0%
Negative7
Negative (%)4.6%
Memory size2.4 KiB
2024-03-27T11:54:55.262014image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.887756348
5-th percentile-1.061468506
Q1-0.218170166
median0.5174789429
Q31.83575058
95-th percentile2.921494484
Maximum5.095869064
Range8.983625412
Interquartile range (IQR)2.053920746

Descriptive statistics

Standard deviation1.845977163
Coefficient of variation (CV)2.56236448
Kurtosis2.184737231
Mean0.720419432
Median Absolute Deviation (MAD)0.9966411591
Skewness-0.07786044037
Sum13.68796921
Variance3.407631687
MonotonicityNot monotonic
2024-03-27T11:54:55.408180image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
1.264493942 1
 
0.7%
0.3618240356 1
 
0.7%
0.754447937 1
 
0.7%
-0.3665313721 1
 
0.7%
2.157381058 1
 
0.7%
-0.0572681427 1
 
0.7%
0.5174789429 1
 
0.7%
-3.887756348 1
 
0.7%
-0.7011947632 1
 
0.7%
5.095869064 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-3.887756348 1
0.7%
-0.7474365234 1
0.7%
-0.7043399811 1
0.7%
-0.7011947632 1
0.7%
-0.3665313721 1
0.7%
ValueCountFrequency (%)
5.095869064 1
0.7%
2.679897308 1
0.7%
2.177911758 1
0.7%
2.168022156 1
0.7%
2.157381058 1
0.7%

d_dem_soc_vet_xt
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.664043954
Minimum-2.163702011
Maximum-1.069689274
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:55.565029image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-2.163702011
5-th percentile-2.139248848
Q1-1.806893826
median-1.685389519
Q3-1.491035938
95-th percentile-1.287445593
Maximum-1.069689274
Range1.094012737
Interquartile range (IQR)0.3158578873

Descriptive statistics

Standard deviation0.2938651148
Coefficient of variation (CV)-0.1765969668
Kurtosis-0.1948780979
Mean-1.664043954
Median Absolute Deviation (MAD)0.1928787231
Skewness-0.01500162868
Sum-31.61683512
Variance0.0863567057
MonotonicityNot monotonic
2024-03-27T11:54:55.721819image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.349518776 1
 
0.7%
-1.902086258 1
 
0.7%
-1.069689274 1
 
0.7%
-1.701330185 1
 
0.7%
-2.163702011 1
 
0.7%
-1.317806721 1
 
0.7%
-1.878268242 1
 
0.7%
-1.685389519 1
 
0.7%
-1.614816666 1
 
0.7%
-1.709358215 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-2.163702011 1
0.7%
-2.13653183 1
0.7%
-2.11260891 1
0.7%
-1.902086258 1
0.7%
-1.878268242 1
0.7%
ValueCountFrequency (%)
-1.069689274 1
0.7%
-1.311640739 1
0.7%
-1.317806721 1
0.7%
-1.349518776 1
0.7%
-1.456095695 1
0.7%

d_env_wea_avgtemp_noaa
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean2.732489536
Minimum1.819999695
Maximum3.690000534
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:55.874199image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1.819999695
5-th percentile2.139336205
Q12.380000114
median2.534170151
Q33.06499958
95-th percentile3.640629005
Maximum3.690000534
Range1.870000839
Interquartile range (IQR)0.6849994659

Descriptive statistics

Standard deviation0.5081708981
Coefficient of variation (CV)0.1859735935
Kurtosis-0.4252927952
Mean2.732489536
Median Absolute Deviation (MAD)0.2558288574
Skewness0.4119652887
Sum51.91730118
Variance0.2582376617
MonotonicityNot monotonic
2024-03-27T11:54:56.044542image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
3.129999161 1
 
0.7%
2.174818039 1
 
0.7%
2.299669266 1
 
0.7%
2.751623154 1
 
0.7%
2.941896439 1
 
0.7%
2.479999542 1
 
0.7%
1.819999695 1
 
0.7%
2.290000916 1
 
0.7%
2.5 1
 
0.7%
3.419998169 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
1.819999695 1
0.7%
2.174818039 1
0.7%
2.290000916 1
0.7%
2.299669266 1
0.7%
2.319999695 1
0.7%
ValueCountFrequency (%)
3.690000534 1
0.7%
3.63514328 1
0.7%
3.419998169 1
0.7%
3.165973663 1
0.7%
3.129999161 1
0.7%

d_env_wea_avgtemp_summer_noaa
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-0.7913111637
Minimum-1.536102295
Maximum-0.1033325195
Zeros0
Zeros (%)0.0%
Negative19
Negative (%)12.5%
Memory size2.4 KiB
2024-03-27T11:54:56.206879image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.536102295
5-th percentile-1.305609131
Q1-1.076587677
median-0.8523712158
Q3-0.501789093
95-th percentile-0.1213363647
Maximum-0.1033325195
Range1.432769775
Interquartile range (IQR)0.574798584

Descriptive statistics

Standard deviation0.4013393301
Coefficient of variation (CV)-0.5071826969
Kurtosis-0.7687421288
Mean-0.7913111637
Median Absolute Deviation (MAD)0.282371521
Skewness0.1151630856
Sum-15.03491211
Variance0.1610732579
MonotonicityNot monotonic
2024-03-27T11:54:56.367376image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.046669006 1
 
0.7%
-0.5085601807 1
 
0.7%
-1.073173523 1
 
0.7%
-0.4608306885 1
 
0.7%
-0.8523712158 1
 
0.7%
-1.080001831 1
 
0.7%
-0.7333297729 1
 
0.7%
-0.123336792 1
 
0.7%
-1.233337402 1
 
0.7%
-0.1033325195 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-1.536102295 1
0.7%
-1.279998779 1
0.7%
-1.233337402 1
0.7%
-1.083328247 1
0.7%
-1.080001831 1
0.7%
ValueCountFrequency (%)
-0.1033325195 1
0.7%
-0.123336792 1
0.7%
-0.3101119995 1
0.7%
-0.4608306885 1
0.7%
-0.4950180054 1
0.7%

d_env_wea_precip_noaa
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean-1.241821697
Minimum-3.438998938
Maximum0.1600000858
Zeros0
Zeros (%)0.0%
Negative18
Negative (%)11.8%
Memory size2.4 KiB
2024-03-27T11:54:56.523424image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-3.438998938
5-th percentile-2.629899859
Q1-1.798027217
median-1.089999914
Q3-0.6732006669
95-th percentile-0.2512651682
Maximum0.1600000858
Range3.598999023
Interquartile range (IQR)1.12482655

Descriptive statistics

Standard deviation0.8680124665
Coefficient of variation (CV)-0.6989831702
Kurtosis0.9070294212
Mean-1.241821697
Median Absolute Deviation (MAD)0.5666527748
Skewness-0.8146940201
Sum-23.59461224
Variance0.7534456421
MonotonicityNot monotonic
2024-03-27T11:54:56.687618image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-0.6100000143 1
 
0.7%
-1.614157915 1
 
0.7%
-0.2969613075 1
 
0.7%
-1.950888753 1
 
0.7%
-1.816054583 1
 
0.7%
-1.109999895 1
 
0.7%
-1.930000067 1
 
0.7%
-2.539999962 1
 
0.7%
-0.7699999809 1
 
0.7%
-1.779999852 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
-3.438998938 1
0.7%
-2.539999962 1
0.7%
-1.950888753 1
0.7%
-1.930000067 1
0.7%
-1.816054583 1
0.7%
ValueCountFrequency (%)
0.1600000858 1
0.7%
-0.2969613075 1
0.7%
-0.3199999332 1
0.7%
-0.5233471394 1
0.7%
-0.6100000143 1
0.7%

d_env_wea_precip_annual_noaa
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)100.0%
Missing133
Missing (%)87.5%
Infinite0
Infinite (%)0.0%
Mean9.310029783
Minimum4.480947495
Maximum13.27000046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:56.846351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum4.480947495
5-th percentile5.380094337
Q17.469999313
median9.129999161
Q311.46500111
95-th percentile12.76016617
Maximum13.27000046
Range8.789052963
Interquartile range (IQR)3.995001793

Descriptive statistics

Standard deviation2.661877773
Coefficient of variation (CV)0.2859150653
Kurtosis-1.126412962
Mean9.310029783
Median Absolute Deviation (MAD)2.270000458
Skewness-0.1869361465
Sum176.8905659
Variance7.085593277
MonotonicityNot monotonic
2024-03-27T11:54:57.002462image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
8.309999466 1
 
0.7%
4.480947495 1
 
0.7%
11.94306374 1
 
0.7%
9.514638901 1
 
0.7%
6.05021286 1
 
0.7%
11.39999962 1
 
0.7%
8.530002594 1
 
0.7%
5.479999542 1
 
0.7%
11.53000259 1
 
0.7%
7.929998398 1
 
0.7%
Other values (9) 9
 
5.9%
(Missing) 133
87.5%
ValueCountFrequency (%)
4.480947495 1
0.7%
5.479999542 1
0.7%
6.05021286 1
0.7%
6.449998856 1
0.7%
7.010000229 1
0.7%
ValueCountFrequency (%)
13.27000046 1
0.7%
12.70351791 1
0.7%
12.61055756 1
0.7%
11.94306374 1
0.7%
11.53000259 1
0.7%

dem_soc_ed_lessbach_xt
Real number (ℝ)

MISSING 

Distinct38
Distinct (%)50.0%
Missing76
Missing (%)50.0%
Infinite0
Infinite (%)0.0%
Mean69.24677969
Minimum49.77394485
Maximum81.88626862
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:57.159668image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum49.77394485
5-th percentile52.8255682
Q164.75166321
median71.18880081
Q376.65187073
95-th percentile80.25579834
Maximum81.88626862
Range32.11232376
Interquartile range (IQR)11.90020752

Descriptive statistics

Standard deviation8.827183317
Coefficient of variation (CV)0.127474279
Kurtosis-0.5064145948
Mean69.24677969
Median Absolute Deviation (MAD)5.95343399
Skewness-0.6143103594
Sum5262.755257
Variance77.91916531
MonotonicityNot monotonic
2024-03-27T11:54:57.335401image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
65.93579102 2
 
1.3%
80.03623199 2
 
1.3%
74.30892944 2
 
1.3%
63.56076431 2
 
1.3%
66.42718506 2
 
1.3%
50.95047379 2
 
1.3%
66.98713684 2
 
1.3%
69.51084137 2
 
1.3%
77.29859924 2
 
1.3%
81.88626862 2
 
1.3%
Other values (28) 56
36.8%
(Missing) 76
50.0%
ValueCountFrequency (%)
49.77394485 2
1.3%
50.95047379 2
1.3%
53.45059967 2
1.3%
54.87898636 2
1.3%
54.99003983 2
1.3%
ValueCountFrequency (%)
81.88626862 2
1.3%
80.72386169 2
1.3%
80.09977722 2
1.3%
80.03623199 2
1.3%
79.51547241 2
1.3%

census_region
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2
Minimum2
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:57.483972image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile2
Q12
median2
Q32
95-th percentile2
Maximum2
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean2
Median Absolute Deviation (MAD)0
Skewness0
Sum304
Variance0
MonotonicityIncreasing
2024-03-27T11:54:57.616899image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
2 152
100.0%
ValueCountFrequency (%)
2 152
100.0%
ValueCountFrequency (%)
2 152
100.0%

census_division
Real number (ℝ)

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3
Minimum3
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:57.749395image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile3
Q13
median3
Q33
95-th percentile3
Maximum3
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)0
Kurtosis0
Mean3
Median Absolute Deviation (MAD)0
Skewness0
Sum456
Variance0
MonotonicityIncreasing
2024-03-27T11:54:57.894299image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
3 152
100.0%
ValueCountFrequency (%)
3 152
100.0%
ValueCountFrequency (%)
3 152
100.0%

sub_west_coast
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:58.023471image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:54:58.161622image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

sub_low_rent_vacancy
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.1315789474
Minimum0
Maximum1
Zeros132
Zeros (%)86.8%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:58.299109image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.3391499019
Coefficient of variation (CV)2.577539255
Kurtosis2.884754118
Mean0.1315789474
Median Absolute Deviation (MAD)0
Skewness2.201583024
Sum20
Variance0.115022656
MonotonicityNot monotonic
2024-03-27T11:54:58.442301image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 132
86.8%
1 20
 
13.2%
ValueCountFrequency (%)
0 132
86.8%
1 20
 
13.2%
ValueCountFrequency (%)
1 20
 
13.2%
0 132
86.8%

sub_high_cost_rent75
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5657894737
Minimum0
Maximum1
Zeros66
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:58.580465image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4972913737
Coefficient of variation (CV)0.8789335907
Kurtosis-1.953999177
Mean0.5657894737
Median Absolute Deviation (MAD)0
Skewness-0.2681191358
Sum86
Variance0.2472987104
MonotonicityNot monotonic
2024-03-27T11:54:58.721731image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 86
56.6%
0 66
43.4%
ValueCountFrequency (%)
0 66
43.4%
1 86
56.6%
ValueCountFrequency (%)
1 86
56.6%
0 66
43.4%

sub_high_cost_homeval75
Numeric time series

NON STATIONARY  SEASONAL  ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5526315789
Minimum0
Maximum1
Zeros68
Zeros (%)44.7%
Memory size2.4 KiB
2024-03-27T11:54:58.869937image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.498865915
Coefficient of variation (CV)0.9027097509
Kurtosis-1.980517737
Mean0.5526315789
Median Absolute Deviation (MAD)0
Skewness-0.2138183096
Sum84
Variance0.2488672011
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value1.095680159 × 10-5
2024-03-27T11:54:59.017554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
2024-03-27T11:54:59.485674image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:54:59.591401image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
1 84
55.3%
0 68
44.7%
ValueCountFrequency (%)
0 68
44.7%
1 84
55.3%
ValueCountFrequency (%)
1 84
55.3%
0 68
44.7%
2024-03-27T11:54:59.139994image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

sub_high_rent_share75
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5657894737
Minimum0
Maximum1
Zeros66
Zeros (%)43.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:59.729209image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4972913737
Coefficient of variation (CV)0.8789335907
Kurtosis-1.953999177
Mean0.5657894737
Median Absolute Deviation (MAD)0
Skewness-0.2681191358
Sum86
Variance0.2472987104
MonotonicityNot monotonic
2024-03-27T11:54:59.867880image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 86
56.6%
0 66
43.4%
ValueCountFrequency (%)
0 66
43.4%
1 86
56.6%
ValueCountFrequency (%)
1 86
56.6%
0 66
43.4%

tight_high_cost_rental_mkt
Real number (ℝ)

ZEROS 

Distinct4
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.815789474
Minimum0
Maximum3
Zeros42
Zeros (%)27.6%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:54:59.996601image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median3
Q33
95-th percentile3
Maximum3
Range3
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.319346882
Coefficient of variation (CV)0.7265968333
Kurtosis-1.651108437
Mean1.815789474
Median Absolute Deviation (MAD)0
Skewness-0.3909654011
Sum276
Variance1.740676194
MonotonicityNot monotonic
2024-03-27T11:55:00.131888image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=4)
ValueCountFrequency (%)
3 78
51.3%
0 42
27.6%
1 22
 
14.5%
2 10
 
6.6%
ValueCountFrequency (%)
0 42
27.6%
1 22
 
14.5%
2 10
 
6.6%
3 78
51.3%
ValueCountFrequency (%)
3 78
51.3%
2 10
 
6.6%
1 22
 
14.5%
0 42
27.6%

sub_tight_high_cost_rent
Numeric time series

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5131578947
Minimum0
Maximum1
Zeros74
Zeros (%)48.7%
Memory size2.4 KiB
2024-03-27T11:55:00.303351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5014791645
Coefficient of variation (CV)0.9772414487
Kurtosis-2.023980243
Mean0.5131578947
Median Absolute Deviation (MAD)0
Skewness-0.05317602117
Sum78
Variance0.2514813524
MonotonicityNot monotonic
Augmented Dickey-Fuller test p-value0.01050420026
2024-03-27T11:55:00.459871image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
2024-03-27T11:55:01.003975image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Gap statistics

number of gaps0
min0
max0
mean0
std0
2024-03-27T11:55:01.107845image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ValueCountFrequency (%)
1 78
51.3%
0 74
48.7%
ValueCountFrequency (%)
0 74
48.7%
1 78
51.3%
ValueCountFrequency (%)
1 78
51.3%
0 74
48.7%
2024-03-27T11:55:00.644408image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
ACF and PACF

sub_west_coast_all_urb
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:01.252970image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:55:01.573596image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

sub_west_census
Real number (ℝ)

CONSTANT  ZEROS 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0
Minimum0
Maximum0
Zeros152
Zeros (%)100.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:01.702149image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum0
Range0
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0
Coefficient of variation (CV)nan
Kurtosis0
Mean0
Median Absolute Deviation (MAD)0
Skewness0
Sum0
Variance0
MonotonicityIncreasing
2024-03-27T11:55:01.834518image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=1)
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%
ValueCountFrequency (%)
0 152
100.0%

major_city
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2105263158
Minimum0
Maximum1
Zeros120
Zeros (%)78.9%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:01.971290image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.4090301718
Coefficient of variation (CV)1.942893316
Kurtosis0.05776510067
Mean0.2105263158
Median Absolute Deviation (MAD)0
Skewness1.434287021
Sum32
Variance0.1673056814
MonotonicityNot monotonic
2024-03-27T11:55:02.111351image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 120
78.9%
1 32
 
21.1%
ValueCountFrequency (%)
0 120
78.9%
1 32
 
21.1%
ValueCountFrequency (%)
1 32
 
21.1%
0 120
78.9%

suburban
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.5263157895
Minimum0
Maximum1
Zeros72
Zeros (%)47.4%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:02.257301image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.5009576051
Coefficient of variation (CV)0.9518194497
Kurtosis-2.015360179
Mean0.5263157895
Median Absolute Deviation (MAD)0
Skewness-0.1064627681
Sum80
Variance0.2509585221
MonotonicityNot monotonic
2024-03-27T11:55:02.396585image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
1 80
52.6%
0 72
47.4%
ValueCountFrequency (%)
0 72
47.4%
1 80
52.6%
ValueCountFrequency (%)
1 80
52.6%
0 72
47.4%

rural
Real number (ℝ)

ZEROS 

Distinct2
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.2631578947
Minimum0
Maximum1
Zeros112
Zeros (%)73.7%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:02.530556image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile1
Maximum1
Range1
Interquartile range (IQR)1

Descriptive statistics

Standard deviation0.4418030802
Coefficient of variation (CV)1.678851705
Kurtosis-0.830717162
Mean0.2631578947
Median Absolute Deviation (MAD)0
Skewness1.086456889
Sum40
Variance0.1951899617
MonotonicityNot monotonic
2024-03-27T11:55:02.670000image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=2)
ValueCountFrequency (%)
0 112
73.7%
1 40
 
26.3%
ValueCountFrequency (%)
0 112
73.7%
1 40
 
26.3%
ValueCountFrequency (%)
1 40
 
26.3%
0 112
73.7%

pit_tot_pit_hud
Real number (ℝ)

Distinct134
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1376.907895
Minimum160
Maximum15904
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:02.838040image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum160
5-th percentile215.1
Q1392
median582
Q3863
95-th percentile6660.1
Maximum15904
Range15744
Interquartile range (IQR)471

Descriptive statistics

Standard deviation3211.16627
Coefficient of variation (CV)2.332157643
Kurtosis14.5762018
Mean1376.907895
Median Absolute Deviation (MAD)228
Skewness4.013212816
Sum209290
Variance10311588.81
MonotonicityNot monotonic
2024-03-27T11:55:03.041554image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
320 4
 
2.6%
902 3
 
2.0%
582 3
 
2.0%
752 2
 
1.3%
344 2
 
1.3%
680 2
 
1.3%
480 2
 
1.3%
810 2
 
1.3%
266 2
 
1.3%
822 2
 
1.3%
Other values (124) 128
84.2%
ValueCountFrequency (%)
160 1
0.7%
162 1
0.7%
180 1
0.7%
192 1
0.7%
200 1
0.7%
ValueCountFrequency (%)
15904 1
0.7%
15784 1
0.7%
15362 1
0.7%
15260 1
0.7%
15036 1
0.7%

Mortality_Z-Score
Real number (ℝ)

Distinct126
Distinct (%)82.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.3016998498
Minimum-1.025077609
Maximum0.4370987866
Zeros0
Zeros (%)0.0%
Negative113
Negative (%)74.3%
Memory size2.4 KiB
2024-03-27T11:55:03.242137image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-1.025077609
5-th percentile-0.8698819253
Q1-0.6603835535
median-0.1981796476
Q30.006615547025
95-th percentile0.2922328247
Maximum0.4370987866
Range1.462176396
Interquartile range (IQR)0.6669991005

Descriptive statistics

Standard deviation0.3848695225
Coefficient of variation (CV)-1.275670249
Kurtosis-1.133341643
Mean-0.3016998498
Median Absolute Deviation (MAD)0.3119003348
Skewness-0.06873273258
Sum-45.85837717
Variance0.1481245493
MonotonicityNot monotonic
2024-03-27T11:55:03.445235image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.657471952 4
 
2.6%
-0.720877832 2
 
1.3%
-0.744078387 2
 
1.3%
-0.802870035 2
 
1.3%
-0.678667423 2
 
1.3%
0.4263028488 2
 
1.3%
-0.107813985 2
 
1.3%
-0.746141905 2
 
1.3%
-0.527068248 2
 
1.3%
-0.7035388139 2
 
1.3%
Other values (116) 130
85.5%
ValueCountFrequency (%)
-1.025077609 1
0.7%
-1.021621476 1
0.7%
-1.005056472 1
0.7%
-0.992894459 1
0.7%
-0.893957069 1
0.7%
ValueCountFrequency (%)
0.4370987866 1
0.7%
0.4263028488 2
1.3%
0.4148474498 1
0.7%
0.4134789635 1
0.7%
0.4005734683 1
0.7%

Mortality_Rank
Real number (ℝ)

Distinct86
Distinct (%)56.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.23123006
Minimum1
Maximum103.5555556
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:03.650245image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q19.75
median39.525
Q353.66666667
95-th percentile74.21851852
Maximum103.5555556
Range102.5555556
Interquartile range (IQR)43.91666667

Descriptive statistics

Standard deviation24.85147424
Coefficient of variation (CV)0.7259883503
Kurtosis-1.095993691
Mean34.23123006
Median Absolute Deviation (MAD)22.19166667
Skewness0.1826494212
Sum5203.14697
Variance617.5957721
MonotonicityNot monotonic
2024-03-27T11:55:03.851855image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8
 
5.3%
10 7
 
4.6%
4 7
 
4.6%
3 6
 
3.9%
6 5
 
3.3%
5 4
 
2.6%
41.5 4
 
2.6%
57 3
 
2.0%
12 3
 
2.0%
7 3
 
2.0%
Other values (76) 102
67.1%
ValueCountFrequency (%)
1 8
5.3%
2 1
 
0.7%
3 6
3.9%
4 7
4.6%
5 4
2.6%
ValueCountFrequency (%)
103.5555556 1
0.7%
81 2
1.3%
79 2
1.3%
75.88888889 1
0.7%
74.66666667 2
1.3%

Morbidity_Z-Score
Real number (ℝ)

Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.01778586857
Minimum-0.618195446
Maximum0.5472163675
Zeros0
Zeros (%)0.0%
Negative91
Negative (%)59.9%
Memory size2.4 KiB
2024-03-27T11:55:04.046463image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.618195446
5-th percentile-0.3426752123
Q1-0.177388989
median-0.0675115505
Q30.2000979548
95-th percentile0.3794707328
Maximum0.5472163675
Range1.165411814
Interquartile range (IQR)0.3774869438

Descriptive statistics

Standard deviation0.2436872994
Coefficient of variation (CV)-13.70117509
Kurtosis-0.3711384503
Mean-0.01778586857
Median Absolute Deviation (MAD)0.1455647095
Skewness0.1652116281
Sum-2.703452023
Variance0.05938349991
MonotonicityNot monotonic
2024-03-27T11:55:04.258961image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.505567545 2
 
1.3%
-0.618195446 2
 
1.3%
-0.143173116 2
 
1.3%
-0.137072961 2
 
1.3%
-0.097183436 2
 
1.3%
-0.274948293 2
 
1.3%
-0.31952012 2
 
1.3%
-0.2622750939 2
 
1.3%
0.09992440765 1
 
0.7%
-0.05211540396 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
-0.618195446 2
1.3%
-0.5951792 1
0.7%
-0.505567545 2
1.3%
-0.416710979 1
0.7%
-0.3618213793 1
0.7%
ValueCountFrequency (%)
0.5472163675 1
0.7%
0.4949647925 1
0.7%
0.4599248759 1
0.7%
0.4418383242 1
0.7%
0.4352478429 1
0.7%

Morbidity_Rank
Real number (ℝ)

Distinct109
Distinct (%)71.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean50.36010766
Minimum7
Maximum100.7407407
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:04.475522image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile18
Q134.875
median44.33333333
Q368.33333333
95-th percentile91.9
Maximum100.7407407
Range93.74074074
Interquartile range (IQR)33.45833333

Descriptive statistics

Standard deviation23.97704206
Coefficient of variation (CV)0.4761118111
Kurtosis-0.8798988173
Mean50.36010766
Median Absolute Deviation (MAD)15.06060606
Skewness0.3484615668
Sum7654.736364
Variance574.8985461
MonotonicityNot monotonic
2024-03-27T11:55:04.678977image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 6
 
3.9%
85 4
 
2.6%
95 4
 
2.6%
87 4
 
2.6%
19 3
 
2.0%
44 3
 
2.0%
41 3
 
2.0%
25 3
 
2.0%
40 3
 
2.0%
86 2
 
1.3%
Other values (99) 117
77.0%
ValueCountFrequency (%)
7 2
1.3%
8 1
0.7%
9 2
1.3%
16 2
1.3%
18 2
1.3%
ValueCountFrequency (%)
100.7407407 1
 
0.7%
95 4
2.6%
94 2
1.3%
93 1
 
0.7%
91 1
 
0.7%

Health_Behaviors_Z-Score
Real number (ℝ)

Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07592181292
Minimum-0.596841281
Maximum0.4397530113
Zeros0
Zeros (%)0.0%
Negative104
Negative (%)68.4%
Memory size2.4 KiB
2024-03-27T11:55:04.873901image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.596841281
5-th percentile-0.4447212161
Q1-0.1662894915
median-0.02743000121
Q30.02219571065
95-th percentile0.1635298844
Maximum0.4397530113
Range1.036594292
Interquartile range (IQR)0.1884852022

Descriptive statistics

Standard deviation0.1794612882
Coefficient of variation (CV)-2.363764527
Kurtosis0.8886515266
Mean-0.07592181292
Median Absolute Deviation (MAD)0.08951690479
Skewness-0.4552131526
Sum-11.54011556
Variance0.03220635396
MonotonicityNot monotonic
2024-03-27T11:55:05.091285image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.286319783 2
 
1.3%
-0.130091127 2
 
1.3%
-0.185287013 2
 
1.3%
-0.199591559 2
 
1.3%
-0.245292862 2
 
1.3%
-0.264597822 2
 
1.3%
-0.116946906 2
 
1.3%
-0.07764650686 2
 
1.3%
0.0831019038 1
 
0.7%
-0.03433786579 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
-0.596841281 1
0.7%
-0.5369260249 1
0.7%
-0.529342786 1
0.7%
-0.514902052 1
0.7%
-0.46090748 1
0.7%
ValueCountFrequency (%)
0.4397530113 1
0.7%
0.3957164192 1
0.7%
0.3412428719 1
0.7%
0.3219793616 1
0.7%
0.2017811924 1
0.7%

Health_Behaviors_Rank
Real number (ℝ)

Distinct103
Distinct (%)67.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean39.42010566
Minimum1
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:05.294061image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.55
Q110
median43.66666667
Q359.22222222
95-th percentile91.35
Maximum102
Range101
Interquartile range (IQR)49.22222222

Descriptive statistics

Standard deviation28.98995039
Coefficient of variation (CV)0.735410266
Kurtosis-0.9012077798
Mean39.42010566
Median Absolute Deviation (MAD)23.96296296
Skewness0.2859776464
Sum5991.856061
Variance840.4172236
MonotonicityNot monotonic
2024-03-27T11:55:05.499541image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 8
 
5.3%
2 8
 
5.3%
3 4
 
2.6%
5 4
 
2.6%
4 4
 
2.6%
21 3
 
2.0%
10 3
 
2.0%
88 3
 
2.0%
47 3
 
2.0%
9 3
 
2.0%
Other values (93) 109
71.7%
ValueCountFrequency (%)
1 8
5.3%
2 8
5.3%
3 4
2.6%
4 4
2.6%
5 4
2.6%
ValueCountFrequency (%)
102 3
2.0%
101 1
 
0.7%
97.33333333 1
 
0.7%
95 1
 
0.7%
93 2
1.3%

Clinical_Care_Z-Score
Real number (ℝ)

Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.06339893187
Minimum-0.31097444
Maximum0.1299004548
Zeros0
Zeros (%)0.0%
Negative105
Negative (%)69.1%
Memory size2.4 KiB
2024-03-27T11:55:05.686935image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.31097444
5-th percentile-0.2579544346
Q1-0.1165564028
median-0.06423693683
Q30.01727205017
95-th percentile0.07115818633
Maximum0.1299004548
Range0.4408748948
Interquartile range (IQR)0.133828453

Descriptive statistics

Standard deviation0.0995072962
Coefficient of variation (CV)-1.569542156
Kurtosis-0.3042872656
Mean-0.06339893187
Median Absolute Deviation (MAD)0.06856178888
Skewness-0.4981291878
Sum-9.636637644
Variance0.009901701997
MonotonicityNot monotonic
2024-03-27T11:55:05.887899image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.076756834 2
 
1.3%
-0.099343829 2
 
1.3%
-0.095908137 2
 
1.3%
-0.091232341 2
 
1.3%
-0.115609029 2
 
1.3%
-0.067671178 2
 
1.3%
-0.011182708 2
 
1.3%
-0.06531142887 2
 
1.3%
0.0405514587 1
 
0.7%
0.06126467369 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
-0.31097444 1
0.7%
-0.302722587 1
0.7%
-0.297302764 1
0.7%
-0.267037397 1
0.7%
-0.266925979 1
0.7%
ValueCountFrequency (%)
0.1299004548 1
0.7%
0.1160026391 1
0.7%
0.1098780459 1
0.7%
0.1018122022 1
0.7%
0.0836324705 1
0.7%

Clinical_Care_Rank
Real number (ℝ)

Distinct108
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36.34898215
Minimum1
Maximum91.18518519
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:06.076244image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q117
median30.33333333
Q358.22727273
95-th percentile76.45
Maximum91.18518519
Range90.18518519
Interquartile range (IQR)41.22727273

Descriptive statistics

Standard deviation24.60363812
Coefficient of variation (CV)0.676872822
Kurtosis-0.9411816359
Mean36.34898215
Median Absolute Deviation (MAD)19.66666667
Skewness0.3152572605
Sum5525.045286
Variance605.3390089
MonotonicityNot monotonic
2024-03-27T11:55:06.265462image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 6
 
3.9%
1 6
 
3.9%
2 5
 
3.3%
24 4
 
2.6%
28 3
 
2.0%
21 3
 
2.0%
6 3
 
2.0%
50 3
 
2.0%
14 3
 
2.0%
17 3
 
2.0%
Other values (98) 113
74.3%
ValueCountFrequency (%)
1 6
3.9%
2 5
3.3%
3 6
3.9%
4 1
 
0.7%
5 2
 
1.3%
ValueCountFrequency (%)
91.18518519 1
0.7%
91 1
0.7%
89 1
0.7%
87 1
0.7%
85 1
0.7%
Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-0.07806912051
Minimum-0.5651837979
Maximum0.5027148364
Zeros0
Zeros (%)0.0%
Negative114
Negative (%)75.0%
Memory size2.4 KiB
2024-03-27T11:55:06.641698image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.5651837979
5-th percentile-0.4475131102
Q1-0.2413473553
median-0.068893538
Q34.605645 × 10-5
95-th percentile0.3452565412
Maximum0.5027148364
Range1.067898634
Interquartile range (IQR)0.2413934117

Descriptive statistics

Standard deviation0.2369301975
Coefficient of variation (CV)-3.034877247
Kurtosis-0.2384842907
Mean-0.07806912051
Median Absolute Deviation (MAD)0.1545296519
Skewness0.2010105028
Sum-11.86650632
Variance0.0561359185
MonotonicityNot monotonic
2024-03-27T11:55:06.848092image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-0.378928137 2
 
1.3%
-0.39113513 2
 
1.3%
-0.399661297 2
 
1.3%
-0.412663257 2
 
1.3%
-0.356752811 2
 
1.3%
-0.39854265 2
 
1.3%
-0.368764054 2
 
1.3%
-0.4318448786 2
 
1.3%
0.2040290264 1
 
0.7%
-0.004175729277 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
-0.5651837979 1
0.7%
-0.536983293 1
0.7%
-0.534202767 1
0.7%
-0.52594435 1
0.7%
-0.524628617 1
0.7%
ValueCountFrequency (%)
0.5027148364 1
0.7%
0.4610081414 1
0.7%
0.4555283518 1
0.7%
0.4439242593 1
0.7%
0.4017218481 1
0.7%
Distinct112
Distinct (%)73.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean42.75758019
Minimum1
Maximum104.2592593
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:07.047030image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.55
Q117.75
median43.375
Q355.25
95-th percentile94
Maximum104.2592593
Range103.2592593
Interquartile range (IQR)37.5

Descriptive statistics

Standard deviation28.00567878
Coefficient of variation (CV)0.6549874584
Kurtosis-0.7107613722
Mean42.75758019
Median Absolute Deviation (MAD)21.40740741
Skewness0.3746719031
Sum6499.152189
Variance784.3180437
MonotonicityNot monotonic
2024-03-27T11:55:07.263140image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 8
 
5.3%
6 6
 
3.9%
88 3
 
2.0%
52 3
 
2.0%
94 3
 
2.0%
14 3
 
2.0%
16.33333333 3
 
2.0%
3 2
 
1.3%
32 2
 
1.3%
91 2
 
1.3%
Other values (102) 117
77.0%
ValueCountFrequency (%)
1 2
1.3%
2 2
1.3%
3 2
1.3%
4 2
1.3%
5 2
1.3%
ValueCountFrequency (%)
104.2592593 1
0.7%
100 1
0.7%
99 1
0.7%
97.5 1
0.7%
96 2
1.3%
Distinct144
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.01900522573
Minimum-0.066273296
Maximum0.2281784182
Zeros0
Zeros (%)0.0%
Negative62
Negative (%)40.8%
Memory size2.4 KiB
2024-03-27T11:55:07.447048image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum-0.066273296
5-th percentile-0.04485499743
Q1-0.01303099529
median0.00443006333
Q30.03349195127
95-th percentile0.1307325575
Maximum0.2281784182
Range0.2944517142
Interquartile range (IQR)0.04652294656

Descriptive statistics

Standard deviation0.0540974948
Coefficient of variation (CV)2.846453684
Kurtosis3.32557593
Mean0.01900522573
Median Absolute Deviation (MAD)0.0239018392
Skewness1.622337662
Sum2.888794311
Variance0.002926538943
MonotonicityNot monotonic
2024-03-27T11:55:07.639803image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0908630464 2
 
1.3%
0.0757229343 2
 
1.3%
0.0688988687 2
 
1.3%
0.0632209879 2
 
1.3%
-0.02384547 2
 
1.3%
0.0022385268 2
 
1.3%
-0.050696076 2
 
1.3%
0.009560531965 2
 
1.3%
0.03891774915 1
 
0.7%
0.004432582961 1
 
0.7%
Other values (134) 134
88.2%
ValueCountFrequency (%)
-0.066273296 1
0.7%
-0.06546454627 1
0.7%
-0.06348910773 1
0.7%
-0.059667109 1
0.7%
-0.055526137 1
0.7%
ValueCountFrequency (%)
0.2281784182 1
0.7%
0.2162878006 1
0.7%
0.1966281718 1
0.7%
0.1893495988 1
0.7%
0.1832518609 1
0.7%

Physical_Environment_Rank
Real number (ℝ)

Distinct108
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean61.84036638
Minimum5
Maximum102
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2024-03-27T11:55:07.829955image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile17.1
Q142.225
median60
Q385.5
95-th percentile101
Maximum102
Range97
Interquartile range (IQR)43.275

Descriptive statistics

Standard deviation26.60463194
Coefficient of variation (CV)0.4302146559
Kurtosis-1.023289999
Mean61.84036638
Median Absolute Deviation (MAD)21
Skewness-0.1203927923
Sum9399.73569
Variance707.8064407
MonotonicityNot monotonic
2024-03-27T11:55:08.019409image/svg+xmlMatplotlib v3.8.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
101 6
 
3.9%
60 5
 
3.3%
97 4
 
2.6%
94 4
 
2.6%
102 4
 
2.6%
58 3
 
2.0%
51 3
 
2.0%
27 3
 
2.0%
99 3
 
2.0%
70 2
 
1.3%
Other values (98) 115
75.7%
ValueCountFrequency (%)
5 1
0.7%
8 1
0.7%
8.545454545 1
0.7%
11 2
1.3%
12.27272727 1
0.7%
ValueCountFrequency (%)
102 4
2.6%
101 6
3.9%
100 2
 
1.3%
99 3
2.0%
97 4
2.6%